Assignment-Bike Sharing.ipynb

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    "\n",
    "## Bike Sharing Assignment \n",
    "\n",
    "### Model Selection using RFE\n"
   ]
  },
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   "source": [
    "### Step 1 : Importing and Understanding Data"
   ]
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   "source": [
    "#Importing Libraries\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Supress Warnings\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
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    "id": "bRWpeeCYb0ws"
   },
   "outputs": [],
   "source": [
    "# Importing day.csv\n",
    "bike_data = pd.read_csv('C:/Users/Arindam/Downloads/day.csv')"
   ]
  },
  {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instant</th>\n",
       "      <th>dteday</th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>01-01-2018</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <td>801</td>\n",
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       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>03-01-2018</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "      <td>120</td>\n",
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       "      <th>3</th>\n",
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       "      <td>04-01-2018</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <td>10.60610</td>\n",
       "      <td>59.0435</td>\n",
       "      <td>10.739832</td>\n",
       "      <td>108</td>\n",
       "      <td>1454</td>\n",
       "      <td>1562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>05-01-2018</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>11.46350</td>\n",
       "      <td>43.6957</td>\n",
       "      <td>12.522300</td>\n",
       "      <td>82</td>\n",
       "      <td>1518</td>\n",
       "      <td>1600</td>\n",
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       "   instant      dteday  season  yr  mnth  holiday  weekday  workingday  \\\n",
       "0        1  01-01-2018       1   0     1        0        6           0   \n",
       "1        2  02-01-2018       1   0     1        0        0           0   \n",
       "2        3  03-01-2018       1   0     1        0        1           1   \n",
       "3        4  04-01-2018       1   0     1        0        2           1   \n",
       "4        5  05-01-2018       1   0     1        0        3           1   \n",
       "\n",
       "   weathersit       temp     atemp      hum  windspeed  casual  registered  \\\n",
       "0           2  14.110847  18.18125  80.5833  10.749882     331         654   \n",
       "1           2  14.902598  17.68695  69.6087  16.652113     131         670   \n",
       "2           1   8.050924   9.47025  43.7273  16.636703     120        1229   \n",
       "3           1   8.200000  10.60610  59.0435  10.739832     108        1454   \n",
       "4           1   9.305237  11.46350  43.6957  12.522300      82        1518   \n",
       "\n",
       "    cnt  \n",
       "0   985  \n",
       "1   801  \n",
       "2  1349  \n",
       "3  1562  \n",
       "4  1600  "
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   ],
   "source": [
    "# Looking at the first five row\n",
    "bike_data.head()"
   ]
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   "source": [
    "Inspect the various aspects of the bike_data dataframe"
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       "(730, 16)"
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   "source": [
    "bike_data.shape\n"
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     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 730 entries, 0 to 729\n",
      "Data columns (total 16 columns):\n",
      " #   Column      Non-Null Count  Dtype  \n",
      "---  ------      --------------  -----  \n",
      " 0   instant     730 non-null    int64  \n",
      " 1   dteday      730 non-null    object \n",
      " 2   season      730 non-null    int64  \n",
      " 3   yr          730 non-null    int64  \n",
      " 4   mnth        730 non-null    int64  \n",
      " 5   holiday     730 non-null    int64  \n",
      " 6   weekday     730 non-null    int64  \n",
      " 7   workingday  730 non-null    int64  \n",
      " 8   weathersit  730 non-null    int64  \n",
      " 9   temp        730 non-null    float64\n",
      " 10  atemp       730 non-null    float64\n",
      " 11  hum         730 non-null    float64\n",
      " 12  windspeed   730 non-null    float64\n",
      " 13  casual      730 non-null    int64  \n",
      " 14  registered  730 non-null    int64  \n",
      " 15  cnt         730 non-null    int64  \n",
      "dtypes: float64(4), int64(11), object(1)\n",
      "memory usage: 91.4+ KB\n"
     ]
    }
   ],
   "source": [
    "bike_data.info()"
   ]
  },
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       "      <th></th>\n",
       "      <th>instant</th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
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       "      <th>count</th>\n",
       "      <td>730.000000</td>\n",
       "      <td>730.000000</td>\n",
       "      <td>730.000000</td>\n",
       "      <td>730.000000</td>\n",
       "      <td>730.000000</td>\n",
       "      <td>730.000000</td>\n",
       "      <td>730.000000</td>\n",
       "      <td>730.000000</td>\n",
       "      <td>730.000000</td>\n",
       "      <td>730.000000</td>\n",
       "      <td>730.000000</td>\n",
       "      <td>730.000000</td>\n",
       "      <td>730.000000</td>\n",
       "      <td>730.000000</td>\n",
       "      <td>730.000000</td>\n",
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       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>365.500000</td>\n",
       "      <td>2.498630</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>6.526027</td>\n",
       "      <td>0.028767</td>\n",
       "      <td>2.997260</td>\n",
       "      <td>0.683562</td>\n",
       "      <td>1.394521</td>\n",
       "      <td>20.319259</td>\n",
       "      <td>23.726322</td>\n",
       "      <td>62.765175</td>\n",
       "      <td>12.763620</td>\n",
       "      <td>849.249315</td>\n",
       "      <td>3658.757534</td>\n",
       "      <td>4508.006849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>210.877136</td>\n",
       "      <td>1.110184</td>\n",
       "      <td>0.500343</td>\n",
       "      <td>3.450215</td>\n",
       "      <td>0.167266</td>\n",
       "      <td>2.006161</td>\n",
       "      <td>0.465405</td>\n",
       "      <td>0.544807</td>\n",
       "      <td>7.506729</td>\n",
       "      <td>8.150308</td>\n",
       "      <td>14.237589</td>\n",
       "      <td>5.195841</td>\n",
       "      <td>686.479875</td>\n",
       "      <td>1559.758728</td>\n",
       "      <td>1936.011647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.424346</td>\n",
       "      <td>3.953480</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.500244</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>22.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>183.250000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>13.811885</td>\n",
       "      <td>16.889713</td>\n",
       "      <td>52.000000</td>\n",
       "      <td>9.041650</td>\n",
       "      <td>316.250000</td>\n",
       "      <td>2502.250000</td>\n",
       "      <td>3169.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>365.500000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>20.465826</td>\n",
       "      <td>24.368225</td>\n",
       "      <td>62.625000</td>\n",
       "      <td>12.125325</td>\n",
       "      <td>717.000000</td>\n",
       "      <td>3664.500000</td>\n",
       "      <td>4548.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>547.750000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>26.880615</td>\n",
       "      <td>30.445775</td>\n",
       "      <td>72.989575</td>\n",
       "      <td>15.625589</td>\n",
       "      <td>1096.500000</td>\n",
       "      <td>4783.250000</td>\n",
       "      <td>5966.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>730.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>35.328347</td>\n",
       "      <td>42.044800</td>\n",
       "      <td>97.250000</td>\n",
       "      <td>34.000021</td>\n",
       "      <td>3410.000000</td>\n",
       "      <td>6946.000000</td>\n",
       "      <td>8714.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "          instant      season          yr        mnth     holiday     weekday  \\\n",
       "count  730.000000  730.000000  730.000000  730.000000  730.000000  730.000000   \n",
       "mean   365.500000    2.498630    0.500000    6.526027    0.028767    2.997260   \n",
       "std    210.877136    1.110184    0.500343    3.450215    0.167266    2.006161   \n",
       "min      1.000000    1.000000    0.000000    1.000000    0.000000    0.000000   \n",
       "25%    183.250000    2.000000    0.000000    4.000000    0.000000    1.000000   \n",
       "50%    365.500000    3.000000    0.500000    7.000000    0.000000    3.000000   \n",
       "75%    547.750000    3.000000    1.000000   10.000000    0.000000    5.000000   \n",
       "max    730.000000    4.000000    1.000000   12.000000    1.000000    6.000000   \n",
       "\n",
       "       workingday  weathersit        temp       atemp         hum   windspeed  \\\n",
       "count  730.000000  730.000000  730.000000  730.000000  730.000000  730.000000   \n",
       "mean     0.683562    1.394521   20.319259   23.726322   62.765175   12.763620   \n",
       "std      0.465405    0.544807    7.506729    8.150308   14.237589    5.195841   \n",
       "min      0.000000    1.000000    2.424346    3.953480    0.000000    1.500244   \n",
       "25%      0.000000    1.000000   13.811885   16.889713   52.000000    9.041650   \n",
       "50%      1.000000    1.000000   20.465826   24.368225   62.625000   12.125325   \n",
       "75%      1.000000    2.000000   26.880615   30.445775   72.989575   15.625589   \n",
       "max      1.000000    3.000000   35.328347   42.044800   97.250000   34.000021   \n",
       "\n",
       "            casual   registered          cnt  \n",
       "count   730.000000   730.000000   730.000000  \n",
       "mean    849.249315  3658.757534  4508.006849  \n",
       "std     686.479875  1559.758728  1936.011647  \n",
       "min       2.000000    20.000000    22.000000  \n",
       "25%     316.250000  2502.250000  3169.750000  \n",
       "50%     717.000000  3664.500000  4548.500000  \n",
       "75%    1096.500000  4783.250000  5966.000000  \n",
       "max    3410.000000  6946.000000  8714.000000  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bike_data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 204
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 3204,
     "status": "ok",
     "timestamp": 1595443869327,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "Ci7speAGc-IK",
    "outputId": "ac39df9f-949d-49c3-ea4a-707238cc023d"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>14.110847</td>\n",
       "      <td>80.5833</td>\n",
       "      <td>10.749882</td>\n",
       "      <td>985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>14.902598</td>\n",
       "      <td>69.6087</td>\n",
       "      <td>16.652113</td>\n",
       "      <td>801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8.050924</td>\n",
       "      <td>43.7273</td>\n",
       "      <td>16.636703</td>\n",
       "      <td>1349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8.200000</td>\n",
       "      <td>59.0435</td>\n",
       "      <td>10.739832</td>\n",
       "      <td>1562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>9.305237</td>\n",
       "      <td>43.6957</td>\n",
       "      <td>12.522300</td>\n",
       "      <td>1600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   season  yr  mnth  holiday  weekday  workingday  weathersit       temp  \\\n",
       "0       1   0     1        0        6           0           2  14.110847   \n",
       "1       1   0     1        0        0           0           2  14.902598   \n",
       "2       1   0     1        0        1           1           1   8.050924   \n",
       "3       1   0     1        0        2           1           1   8.200000   \n",
       "4       1   0     1        0        3           1           1   9.305237   \n",
       "\n",
       "       hum  windspeed   cnt  \n",
       "0  80.5833  10.749882   985  \n",
       "1  69.6087  16.652113   801  \n",
       "2  43.7273  16.636703  1349  \n",
       "3  59.0435  10.739832  1562  \n",
       "4  43.6957  12.522300  1600  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# dropping unneccessary columns\n",
    "bike_data.drop(['instant','dteday','casual','registered','atemp'],axis=1,inplace=True)\n",
    "bike_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 3135,
     "status": "ok",
     "timestamp": 1595443869327,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "8yjQZyiE_UCG"
   },
   "outputs": [],
   "source": [
    "bike_data.replace({'season': {1:'spring',2:'summer',3:'fall',4:'winter'},'mnth':{1:'Jan',2:'Feb',3:'Mar',4:'Apr',5:'May',6:'Jun',7:'Jul',8:'Aug',9:'Sept',10:'Oct',11:'Nov',12:'Dec'},'weekday':{0:'Sunday',1:'Monday',2:'Tuesday',3:'Wednesday',4:'Thursday',5:'Friday',6:'Saturday'},'weathersit':{1:'Clear',2:'Mist + Cloudy',3:'Light Snow',4:'Heavy Rain'}}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 323
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 3093,
     "status": "ok",
     "timestamp": 1595443869328,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "2OSmbgejD96a",
    "outputId": "48421812-0429-44da-f340-ed4701fc702e"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 730 entries, 0 to 729\n",
      "Data columns (total 11 columns):\n",
      " #   Column      Non-Null Count  Dtype  \n",
      "---  ------      --------------  -----  \n",
      " 0   season      730 non-null    object \n",
      " 1   yr          730 non-null    int64  \n",
      " 2   mnth        730 non-null    object \n",
      " 3   holiday     730 non-null    int64  \n",
      " 4   weekday     730 non-null    object \n",
      " 5   workingday  730 non-null    int64  \n",
      " 6   weathersit  730 non-null    object \n",
      " 7   temp        730 non-null    float64\n",
      " 8   hum         730 non-null    float64\n",
      " 9   windspeed   730 non-null    float64\n",
      " 10  cnt         730 non-null    int64  \n",
      "dtypes: float64(3), int64(4), object(4)\n",
      "memory usage: 62.9+ KB\n"
     ]
    }
   ],
   "source": [
    "bike_data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "w348P9lj1CAp"
   },
   "source": [
    "### Step 2: Visualising the Data\n",
    "Let's now spend some time doing what is arguably the most important step - understanding the data.\n",
    "\n",
    "If there is some obvious multicollinearity going on, this is the first place to catch it\n",
    "Here's where you'll also identify if some predictors directly have a strong association with the outcome variable\n",
    "We'll visualise our data using matplotlib and seaborn."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "fwYje9Wg1JtN"
   },
   "source": [
    "Visualising Numeric Variables\n",
    "Let's make a pairplot of all the numeric variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 747
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 8136,
     "status": "ok",
     "timestamp": 1595443874411,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "xlIo8dIv1PMJ",
    "outputId": "84ee5183-ad61-44e0-a338-a0e92c534483"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 20 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(data=bike_data[[\"temp\",\"hum\",\"windspeed\",\"cnt\"]])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "d4kB5JAJ1U3m"
   },
   "source": [
    "Visualising Categorical Variables\n",
    "As you might have noticed, there are a few categorical variables as well. Let's make a boxplot for some of these variables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 576
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 8692,
     "status": "ok",
     "timestamp": 1595443875023,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "AO91-jEd1X4J",
    "outputId": "09af876f-e63d-447a-e046-cea664ef26aa"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x1080 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 15))\n",
    "plt.subplot(3,3,1)\n",
    "sns.boxplot(x = 'season', y = 'cnt', data = bike_data)\n",
    "plt.subplot(3,3,2)\n",
    "sns.boxplot(x = 'yr', y = 'cnt', data = bike_data)\n",
    "plt.subplot(3,3,3)\n",
    "sns.boxplot(x = 'mnth', y = 'cnt', data = bike_data)\n",
    "plt.subplot(3,3,4)\n",
    "sns.boxplot(x = 'weekday', y = 'cnt', data = bike_data)\n",
    "plt.subplot(3,3,5)\n",
    "sns.boxplot(x = 'workingday', y = 'cnt', data = bike_data)\n",
    "plt.subplot(3,3,6)\n",
    "sns.boxplot(x = 'weathersit', y = 'cnt', data = bike_data)\n",
    "plt.subplot(3,3,7)\n",
    "sns.boxplot(x = 'holiday', y = 'cnt', data = bike_data)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "YBxNK2aRb0xS"
   },
   "source": [
    "### Step 3 : Data Preparation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "NwrM9K-0b0x3"
   },
   "source": [
    "### Dummy Variables"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Led3oVDdb0x_"
   },
   "source": [
    "The variable like season , mnth , weekday , weathersit has certain no. of levels. We need to convert these levels into integer as well. For this, we will use something called `dummy variables`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 425
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 8661,
     "status": "ok",
     "timestamp": 1595443875025,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "B9AO_Nl-b0yC",
    "outputId": "54ef14eb-177b-400c-be22-d98a7939b183"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   spring  summer  winter\n",
      "0       1       0       0\n",
      "1       1       0       0\n",
      "2       1       0       0\n",
      "3       1       0       0\n",
      "4       1       0       0\n",
      "   Aug  Dec  Feb  Jan  Jul  Jun  Mar  May  Nov  Oct  Sept\n",
      "0    0    0    0    1    0    0    0    0    0    0     0\n",
      "1    0    0    0    1    0    0    0    0    0    0     0\n",
      "2    0    0    0    1    0    0    0    0    0    0     0\n",
      "3    0    0    0    1    0    0    0    0    0    0     0\n",
      "4    0    0    0    1    0    0    0    0    0    0     0\n",
      "   Monday  Saturday  Sunday  Thursday  Tuesday  Wednesday\n",
      "0       0         1       0         0        0          0\n",
      "1       0         0       1         0        0          0\n",
      "2       1         0       0         0        0          0\n",
      "3       0         0       0         0        1          0\n",
      "4       0         0       0         0        0          1\n",
      "   Light Snow  Mist + Cloudy\n",
      "0           0              1\n",
      "1           0              1\n",
      "2           0              0\n",
      "3           0              0\n",
      "4           0              0\n"
     ]
    }
   ],
   "source": [
    "# Get the dummy variables for the category vriables and store it in a new variable - 'status'\n",
    "status = pd.get_dummies(bike_data['season'],drop_first = True)\n",
    "status1 = pd.get_dummies(bike_data['mnth'],drop_first = True)\n",
    "status2 = pd.get_dummies(bike_data['weekday'],drop_first = True)\n",
    "status3 = pd.get_dummies(bike_data['weathersit'],drop_first = True)\n",
    "\n",
    "# Checking the dataset 'status' looks like\n",
    "print(status.head())\n",
    "print(status1.head())\n",
    "print(status2.head())\n",
    "print(status3.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "nF8vFxllb0yR"
   },
   "source": [
    "Now, you don't need three columns. You can drop the `season , mnth , weekday , weathersit` column ."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 8617,
     "status": "ok",
     "timestamp": 1595443875027,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "gSEQqmltflf-"
   },
   "outputs": [],
   "source": [
    "# Add the results to the original housing dataframe\n",
    "\n",
    "bike_data = pd.concat([bike_data, status, status1, status2, status3], axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 275
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 8582,
     "status": "ok",
     "timestamp": 1595443875028,
     "user": {
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      "photoUrl": "",
      "userId": "14669070391861439923"
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    },
    "id": "KSnwjd2dfpxN",
    "outputId": "443d1c05-4e95-48b5-f725-8212be9694aa"
   },
   "outputs": [
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       "      <th>season</th>\n",
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       "      <th>...</th>\n",
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       "      <td>Jan</td>\n",
       "      <td>0</td>\n",
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       "      <td>1</td>\n",
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       "      <td>0</td>\n",
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       "<p>5 rows × 33 columns</p>\n",
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       "   season  yr mnth  holiday    weekday  workingday     weathersit       temp  \\\n",
       "0  spring   0  Jan        0   Saturday           0  Mist + Cloudy  14.110847   \n",
       "1  spring   0  Jan        0     Sunday           0  Mist + Cloudy  14.902598   \n",
       "2  spring   0  Jan        0     Monday           1          Clear   8.050924   \n",
       "3  spring   0  Jan        0    Tuesday           1          Clear   8.200000   \n",
       "4  spring   0  Jan        0  Wednesday           1          Clear   9.305237   \n",
       "\n",
       "       hum  windspeed  ...  Oct  Sept  Monday  Saturday  Sunday  Thursday  \\\n",
       "0  80.5833  10.749882  ...    0     0       0         1       0         0   \n",
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       "3  59.0435  10.739832  ...    0     0       0         0       0         0   \n",
       "4  43.6957  12.522300  ...    0     0       0         0       0         0   \n",
       "\n",
       "   Tuesday  Wednesday  Light Snow  Mist + Cloudy  \n",
       "0        0          0           0              1  \n",
       "1        0          0           0              1  \n",
       "2        0          0           0              0  \n",
       "3        1          0           0              0  \n",
       "4        0          1           0              0  \n",
       "\n",
       "[5 rows x 33 columns]"
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     "execution_count": 16,
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   "source": [
    "# Now let's see the head of our dataframe.\n",
    "\n",
    "bike_data.head()"
   ]
  },
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      "text/plain": [
       "   yr  holiday  workingday       temp      hum  windspeed   cnt  spring  \\\n",
       "0   0        0           0  14.110847  80.5833  10.749882   985       1   \n",
       "1   0        0           0  14.902598  69.6087  16.652113   801       1   \n",
       "2   0        0           1   8.050924  43.7273  16.636703  1349       1   \n",
       "3   0        0           1   8.200000  59.0435  10.739832  1562       1   \n",
       "4   0        0           1   9.305237  43.6957  12.522300  1600       1   \n",
       "\n",
       "   summer  winter  ...  Oct  Sept  Monday  Saturday  Sunday  Thursday  \\\n",
       "0       0       0  ...    0     0       0         1       0         0   \n",
       "1       0       0  ...    0     0       0         0       1         0   \n",
       "2       0       0  ...    0     0       1         0       0         0   \n",
       "3       0       0  ...    0     0       0         0       0         0   \n",
       "4       0       0  ...    0     0       0         0       0         0   \n",
       "\n",
       "   Tuesday  Wednesday  Light Snow  Mist + Cloudy  \n",
       "0        0          0           0              1  \n",
       "1        0          0           0              1  \n",
       "2        0          0           0              0  \n",
       "3        1          0           0              0  \n",
       "4        0          1           0              0  \n",
       "\n",
       "[5 rows x 29 columns]"
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   ],
   "source": [
    "# Drop 'season , mnth , weekday , weathersit'  columns as we have created the dummies for it\n",
    "bike_data.drop(['season','mnth','weekday','weathersit'], axis = 1, inplace = True)\n",
    "\n",
    "bike_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "soE7ueNHb0yz"
   },
   "source": [
    "### Step 4 : Splitting the Data into Training and Testing Sets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 8477,
     "status": "ok",
     "timestamp": 1595443875030,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
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    },
    "id": "7ztEIZ3xb0y2"
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   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "# We specify this so that the train and test data set always have the same rows, respectively\n",
    "\n",
    "df_train, df_test = train_test_split(bike_data, train_size = 0.7, test_size = 0.3, random_state = 100)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "7Njo0uNEb0zH"
   },
   "source": [
    "### A) Rescaling the Features \n",
    "\n",
    "We will use MinMax scaling."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 8454,
     "status": "ok",
     "timestamp": 1595443875032,
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     },
     "user_tz": -330
    },
    "id": "wO-Mze2gb0zL"
   },
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import MinMaxScaler\n",
    "scaler = MinMaxScaler()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
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    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 8419,
     "status": "ok",
     "timestamp": 1595443875034,
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    "id": "9vwEEZ5bb0zY",
    "outputId": "30e14742-4aab-4d8c-b92f-d89e3c42b3d3"
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   "outputs": [
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>yr</th>\n",
       "      <th>holiday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>temp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>cnt</th>\n",
       "      <th>spring</th>\n",
       "      <th>summer</th>\n",
       "      <th>winter</th>\n",
       "      <th>...</th>\n",
       "      <th>Oct</th>\n",
       "      <th>Sept</th>\n",
       "      <th>Monday</th>\n",
       "      <th>Saturday</th>\n",
       "      <th>Sunday</th>\n",
       "      <th>Thursday</th>\n",
       "      <th>Tuesday</th>\n",
       "      <th>Wednesday</th>\n",
       "      <th>Light Snow</th>\n",
       "      <th>Mist + Cloudy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>653</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.509887</td>\n",
       "      <td>0.575354</td>\n",
       "      <td>0.300794</td>\n",
       "      <td>0.864243</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>576</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.815169</td>\n",
       "      <td>0.725633</td>\n",
       "      <td>0.264686</td>\n",
       "      <td>0.827658</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>426</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.442393</td>\n",
       "      <td>0.640189</td>\n",
       "      <td>0.255342</td>\n",
       "      <td>0.465255</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>728</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.245101</td>\n",
       "      <td>0.498067</td>\n",
       "      <td>0.663106</td>\n",
       "      <td>0.204096</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>482</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.395666</td>\n",
       "      <td>0.504508</td>\n",
       "      <td>0.188475</td>\n",
       "      <td>0.482973</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     yr  holiday  workingday      temp       hum  windspeed       cnt  spring  \\\n",
       "653   1        0           1  0.509887  0.575354   0.300794  0.864243       0   \n",
       "576   1        0           1  0.815169  0.725633   0.264686  0.827658       0   \n",
       "426   1        0           0  0.442393  0.640189   0.255342  0.465255       1   \n",
       "728   1        0           0  0.245101  0.498067   0.663106  0.204096       1   \n",
       "482   1        0           0  0.395666  0.504508   0.188475  0.482973       0   \n",
       "\n",
       "     summer  winter  ...  Oct  Sept  Monday  Saturday  Sunday  Thursday  \\\n",
       "653       0       1  ...    1     0       0         0       0         0   \n",
       "576       0       0  ...    0     0       0         0       0         0   \n",
       "426       0       0  ...    0     0       0         1       0         0   \n",
       "728       0       0  ...    0     0       0         0       1         0   \n",
       "482       1       0  ...    0     0       0         1       0         0   \n",
       "\n",
       "     Tuesday  Wednesday  Light Snow  Mist + Cloudy  \n",
       "653        1          0           0              0  \n",
       "576        1          0           0              0  \n",
       "426        0          0           0              1  \n",
       "728        0          0           0              0  \n",
       "482        0          0           0              1  \n",
       "\n",
       "[5 rows x 29 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Apply scaler() to all the columns except the 'yes-no' and 'dummy' variables\n",
    "num_vars = ['temp', 'hum', 'windspeed','cnt']\n",
    "\n",
    "df_train[num_vars] = scaler.fit_transform(df_train[num_vars])\n",
    "\n",
    "df_train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 334
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 8735,
     "status": "ok",
     "timestamp": 1595443875407,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "n5kKktkfg4Ly",
    "outputId": "99818ab3-05a0-4813-a808-0ce8a0d3663d"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>yr</th>\n",
       "      <th>holiday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>temp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>cnt</th>\n",
       "      <th>spring</th>\n",
       "      <th>summer</th>\n",
       "      <th>winter</th>\n",
       "      <th>...</th>\n",
       "      <th>Oct</th>\n",
       "      <th>Sept</th>\n",
       "      <th>Monday</th>\n",
       "      <th>Saturday</th>\n",
       "      <th>Sunday</th>\n",
       "      <th>Thursday</th>\n",
       "      <th>Tuesday</th>\n",
       "      <th>Wednesday</th>\n",
       "      <th>Light Snow</th>\n",
       "      <th>Mist + Cloudy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>510.000000</td>\n",
       "      <td>510.000000</td>\n",
       "      <td>510.000000</td>\n",
       "      <td>510.000000</td>\n",
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       "      <td>510.000000</td>\n",
       "      <td>510.000000</td>\n",
       "      <td>510.00000</td>\n",
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       "      <td>510.000000</td>\n",
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       "      <td>510.000000</td>\n",
       "      <td>510.000000</td>\n",
       "      <td>510.000000</td>\n",
       "      <td>510.000000</td>\n",
       "      <td>510.000000</td>\n",
       "      <td>510.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.507843</td>\n",
       "      <td>0.025490</td>\n",
       "      <td>0.676471</td>\n",
       "      <td>0.537262</td>\n",
       "      <td>0.650369</td>\n",
       "      <td>0.320768</td>\n",
       "      <td>0.513620</td>\n",
       "      <td>0.243137</td>\n",
       "      <td>0.245098</td>\n",
       "      <td>0.24902</td>\n",
       "      <td>...</td>\n",
       "      <td>0.086275</td>\n",
       "      <td>0.080392</td>\n",
       "      <td>0.150980</td>\n",
       "      <td>0.154902</td>\n",
       "      <td>0.143137</td>\n",
       "      <td>0.133333</td>\n",
       "      <td>0.131373</td>\n",
       "      <td>0.158824</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.343137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.500429</td>\n",
       "      <td>0.157763</td>\n",
       "      <td>0.468282</td>\n",
       "      <td>0.225844</td>\n",
       "      <td>0.145882</td>\n",
       "      <td>0.169797</td>\n",
       "      <td>0.224593</td>\n",
       "      <td>0.429398</td>\n",
       "      <td>0.430568</td>\n",
       "      <td>0.43287</td>\n",
       "      <td>...</td>\n",
       "      <td>0.281045</td>\n",
       "      <td>0.272166</td>\n",
       "      <td>0.358381</td>\n",
       "      <td>0.362166</td>\n",
       "      <td>0.350557</td>\n",
       "      <td>0.340268</td>\n",
       "      <td>0.338139</td>\n",
       "      <td>0.365870</td>\n",
       "      <td>0.169124</td>\n",
       "      <td>0.475223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.339853</td>\n",
       "      <td>0.538643</td>\n",
       "      <td>0.199179</td>\n",
       "      <td>0.356420</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.540519</td>\n",
       "      <td>0.653714</td>\n",
       "      <td>0.296763</td>\n",
       "      <td>0.518638</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.735215</td>\n",
       "      <td>0.754830</td>\n",
       "      <td>0.414447</td>\n",
       "      <td>0.684710</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               yr     holiday  workingday        temp         hum   windspeed  \\\n",
       "count  510.000000  510.000000  510.000000  510.000000  510.000000  510.000000   \n",
       "mean     0.507843    0.025490    0.676471    0.537262    0.650369    0.320768   \n",
       "std      0.500429    0.157763    0.468282    0.225844    0.145882    0.169797   \n",
       "min      0.000000    0.000000    0.000000    0.000000    0.000000    0.000000   \n",
       "25%      0.000000    0.000000    0.000000    0.339853    0.538643    0.199179   \n",
       "50%      1.000000    0.000000    1.000000    0.540519    0.653714    0.296763   \n",
       "75%      1.000000    0.000000    1.000000    0.735215    0.754830    0.414447   \n",
       "max      1.000000    1.000000    1.000000    1.000000    1.000000    1.000000   \n",
       "\n",
       "              cnt      spring      summer     winter  ...         Oct  \\\n",
       "count  510.000000  510.000000  510.000000  510.00000  ...  510.000000   \n",
       "mean     0.513620    0.243137    0.245098    0.24902  ...    0.086275   \n",
       "std      0.224593    0.429398    0.430568    0.43287  ...    0.281045   \n",
       "min      0.000000    0.000000    0.000000    0.00000  ...    0.000000   \n",
       "25%      0.356420    0.000000    0.000000    0.00000  ...    0.000000   \n",
       "50%      0.518638    0.000000    0.000000    0.00000  ...    0.000000   \n",
       "75%      0.684710    0.000000    0.000000    0.00000  ...    0.000000   \n",
       "max      1.000000    1.000000    1.000000    1.00000  ...    1.000000   \n",
       "\n",
       "             Sept      Monday    Saturday      Sunday    Thursday     Tuesday  \\\n",
       "count  510.000000  510.000000  510.000000  510.000000  510.000000  510.000000   \n",
       "mean     0.080392    0.150980    0.154902    0.143137    0.133333    0.131373   \n",
       "std      0.272166    0.358381    0.362166    0.350557    0.340268    0.338139   \n",
       "min      0.000000    0.000000    0.000000    0.000000    0.000000    0.000000   \n",
       "25%      0.000000    0.000000    0.000000    0.000000    0.000000    0.000000   \n",
       "50%      0.000000    0.000000    0.000000    0.000000    0.000000    0.000000   \n",
       "75%      0.000000    0.000000    0.000000    0.000000    0.000000    0.000000   \n",
       "max      1.000000    1.000000    1.000000    1.000000    1.000000    1.000000   \n",
       "\n",
       "        Wednesday  Light Snow  Mist + Cloudy  \n",
       "count  510.000000  510.000000     510.000000  \n",
       "mean     0.158824    0.029412       0.343137  \n",
       "std      0.365870    0.169124       0.475223  \n",
       "min      0.000000    0.000000       0.000000  \n",
       "25%      0.000000    0.000000       0.000000  \n",
       "50%      0.000000    0.000000       0.000000  \n",
       "75%      0.000000    0.000000       1.000000  \n",
       "max      1.000000    1.000000       1.000000  \n",
       "\n",
       "[8 rows x 29 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_train.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 714
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 13399,
     "status": "ok",
     "timestamp": 1595443880114,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "WDDlms06uiML",
    "outputId": "eb903ead-bf95-4189-d82b-6e1f8c1506d1"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x1440 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (30, 20))\n",
    "sns.heatmap(df_train.corr(), annot = True, cmap=\"YlGnBu\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "KOk-z2J_b0zq"
   },
   "source": [
    "### B) Dividing into X and Y sets for the model building"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 102
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 13357,
     "status": "ok",
     "timestamp": 1595443880121,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "ToxmehXkb0zu",
    "outputId": "5872c466-17b0-43fd-8f92-09d49ec28262"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['yr', 'holiday', 'workingday', 'temp', 'hum', 'windspeed', 'spring',\n",
       "       'summer', 'winter', 'Aug', 'Dec', 'Feb', 'Jan', 'Jul', 'Jun', 'Mar',\n",
       "       'May', 'Nov', 'Oct', 'Sept', 'Monday', 'Saturday', 'Sunday', 'Thursday',\n",
       "       'Tuesday', 'Wednesday', 'Light Snow', 'Mist + Cloudy'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train = df_train.pop('cnt')\n",
    "X_train = df_train\n",
    "X_train.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "3HU9znj-b0z9"
   },
   "source": [
    "### Step 4 : Building our model\n",
    "\n",
    "This time, we will be using the **LinearRegression function from SciKit Learn** for its compatibility with RFE (which is a utility from sklearn)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "i4E2G2-4b00B"
   },
   "source": [
    "### RFE\n",
    "Recursive feature elimination"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 13326,
     "status": "ok",
     "timestamp": 1595443880124,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "lGAGrMBVb00E"
   },
   "outputs": [],
   "source": [
    "# Importing RFE and LinearRegression\n",
    "from sklearn.feature_selection import RFE\n",
    "from sklearn.linear_model import LinearRegression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 13300,
     "status": "ok",
     "timestamp": 1595443880125,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "CY8LpAAXb00W"
   },
   "outputs": [],
   "source": [
    "# Running RFE with the output number of the variable equal to 15\n",
    "\n",
    "lm = LinearRegression()\n",
    "lm.fit(X_train, y_train)\n",
    "\n",
    "# running RFE\n",
    "rfe = RFE(lm, 15)             \n",
    "rfe = rfe.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 493
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 13263,
     "status": "ok",
     "timestamp": 1595443880127,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "92eEViTrb00k",
    "outputId": "12b0b6f4-5129-4bf7-bfeb-3e4becd5e283"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('yr', True, 1),\n",
       " ('holiday', True, 1),\n",
       " ('workingday', True, 1),\n",
       " ('temp', True, 1),\n",
       " ('hum', True, 1),\n",
       " ('windspeed', True, 1),\n",
       " ('spring', True, 1),\n",
       " ('summer', True, 1),\n",
       " ('winter', True, 1),\n",
       " ('Aug', False, 9),\n",
       " ('Dec', False, 4),\n",
       " ('Feb', False, 5),\n",
       " ('Jan', False, 2),\n",
       " ('Jul', True, 1),\n",
       " ('Jun', False, 13),\n",
       " ('Mar', False, 11),\n",
       " ('May', False, 6),\n",
       " ('Nov', False, 3),\n",
       " ('Oct', False, 14),\n",
       " ('Sept', True, 1),\n",
       " ('Monday', False, 7),\n",
       " ('Saturday', True, 1),\n",
       " ('Sunday', True, 1),\n",
       " ('Thursday', False, 10),\n",
       " ('Tuesday', False, 8),\n",
       " ('Wednesday', False, 12),\n",
       " ('Light Snow', True, 1),\n",
       " ('Mist + Cloudy', True, 1)]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(zip(X_train.columns,rfe.support_,rfe.ranking_))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 85
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 13217,
     "status": "ok",
     "timestamp": 1595443880130,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "2Q8e94wMb00y",
    "outputId": "73ac4364-8a5e-4f2f-ee14-0f131ce93873",
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['yr', 'holiday', 'workingday', 'temp', 'hum', 'windspeed', 'spring',\n",
       "       'summer', 'winter', 'Jul', 'Sept', 'Saturday', 'Sunday', 'Light Snow',\n",
       "       'Mist + Cloudy'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "col = X_train.columns[rfe.support_]\n",
    "col"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 68
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 13163,
     "status": "ok",
     "timestamp": 1595443880131,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "TYXQm9mXb01B",
    "outputId": "21a53794-f552-4cec-e497-3e2668554322"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Aug', 'Dec', 'Feb', 'Jan', 'Jun', 'Mar', 'May', 'Nov', 'Oct', 'Monday',\n",
       "       'Thursday', 'Tuesday', 'Wednesday'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.columns[~rfe.support_]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "gw14oEREb01O"
   },
   "source": [
    "### Step 5 : Building model using statsmodel, for the detailed statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 13144,
     "status": "ok",
     "timestamp": 1595443880133,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "Hq0UEtY1b01S"
   },
   "outputs": [],
   "source": [
    "# Creating X_train_rfe dataframe with RFE selected variables\n",
    "X_train_rfe = X_train[col]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 13131,
     "status": "ok",
     "timestamp": 1595443880136,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "YnTWkJfzb01e"
   },
   "outputs": [],
   "source": [
    "# Adding a constant variable \n",
    "import statsmodels.api as sm  \n",
    "X_train_rfe = sm.add_constant(X_train_rfe)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 13121,
     "status": "ok",
     "timestamp": 1595443880138,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "oK_ZdyM0b01s"
   },
   "outputs": [],
   "source": [
    "# Running the linear model\n",
    "lm1 = sm.OLS(y_train,X_train_rfe).fit()   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 714
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 13101,
     "status": "ok",
     "timestamp": 1595443880139,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "RXVxiWNqb016",
    "outputId": "212615fb-4204-43f1-a4dc-e6aedcc5f3cf"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                    cnt   R-squared:                       0.847\n",
      "Model:                            OLS   Adj. R-squared:                  0.843\n",
      "Method:                 Least Squares   F-statistic:                     196.3\n",
      "Date:                Mon, 27 Jul 2020   Prob (F-statistic):          1.13e-191\n",
      "Time:                        20:00:47   Log-Likelihood:                 517.87\n",
      "No. Observations:                 510   AIC:                            -1006.\n",
      "Df Residuals:                     495   BIC:                            -942.2\n",
      "Df Model:                          14                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "=================================================================================\n",
      "                    coef    std err          t      P>|t|      [0.025      0.975]\n",
      "---------------------------------------------------------------------------------\n",
      "const             0.1989      0.028      7.181      0.000       0.144       0.253\n",
      "yr                0.2297      0.008     28.660      0.000       0.214       0.245\n",
      "holiday          -0.0190      0.021     -0.892      0.373      -0.061       0.023\n",
      "workingday        0.0837      0.010      8.672      0.000       0.065       0.103\n",
      "temp              0.5278      0.033     15.897      0.000       0.463       0.593\n",
      "hum              -0.1595      0.037     -4.268      0.000      -0.233      -0.086\n",
      "windspeed        -0.1806      0.025     -7.110      0.000      -0.231      -0.131\n",
      "spring           -0.0554      0.021     -2.694      0.007      -0.096      -0.015\n",
      "summer            0.0526      0.015      3.553      0.000       0.024       0.082\n",
      "winter            0.1003      0.017      5.890      0.000       0.067       0.134\n",
      "Jul              -0.0549      0.018     -3.035      0.003      -0.090      -0.019\n",
      "Sept              0.0818      0.016      4.956      0.000       0.049       0.114\n",
      "Saturday          0.0937      0.012      8.045      0.000       0.071       0.117\n",
      "Sunday            0.0405      0.012      3.304      0.001       0.016       0.065\n",
      "Light Snow       -0.2463      0.026     -9.449      0.000      -0.298      -0.195\n",
      "Mist + Cloudy    -0.0578      0.010     -5.559      0.000      -0.078      -0.037\n",
      "==============================================================================\n",
      "Omnibus:                       64.879   Durbin-Watson:                   2.065\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              158.454\n",
      "Skew:                          -0.661   Prob(JB):                     3.91e-35\n",
      "Kurtosis:                       5.390   Cond. No.                     1.65e+15\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The smallest eigenvalue is 5.58e-28. This might indicate that there are\n",
      "strong multicollinearity problems or that the design matrix is singular.\n"
     ]
    }
   ],
   "source": [
    "#Let's see the summary of our linear model\n",
    "print(lm1.summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### We will drop the variables/const with high p-value and variables with high VIF's\n",
    "\n",
    "We will drop the features/variables one by one"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 85
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 13073,
     "status": "ok",
     "timestamp": 1595443880140,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "_RViujHm7xQF",
    "outputId": "77d8a5ce-542a-4ec0-822c-3ad25c9f84ee"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['yr', 'workingday', 'temp', 'hum', 'windspeed', 'spring', 'summer',\n",
       "       'winter', 'Jul', 'Sept', 'Saturday', 'Sunday', 'Light Snow',\n",
       "       'Mist + Cloudy'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train_new = X_train[col].drop([\"holiday\"], axis = 1)\n",
    "X_train_new.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 13064,
     "status": "ok",
     "timestamp": 1595443880141,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "kvPWjO-v8N_J"
   },
   "outputs": [],
   "source": [
    "# Adding a constant variable \n",
    "import statsmodels.api as sm  \n",
    "X_train_lm = sm.add_constant(X_train_new)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 663
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 13054,
     "status": "ok",
     "timestamp": 1595443880142,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "qOxlE25T8gCk",
    "outputId": "e90d025c-9a87-45f5-aaeb-c516995a539e"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                    cnt   R-squared:                       0.847\n",
      "Model:                            OLS   Adj. R-squared:                  0.843\n",
      "Method:                 Least Squares   F-statistic:                     196.3\n",
      "Date:                Sun, 26 Jul 2020   Prob (F-statistic):          1.13e-191\n",
      "Time:                        01:16:12   Log-Likelihood:                 517.87\n",
      "No. Observations:                 510   AIC:                            -1006.\n",
      "Df Residuals:                     495   BIC:                            -942.2\n",
      "Df Model:                          14                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "=================================================================================\n",
      "                    coef    std err          t      P>|t|      [0.025      0.975]\n",
      "---------------------------------------------------------------------------------\n",
      "const             0.1799      0.042      4.276      0.000       0.097       0.263\n",
      "yr                0.2297      0.008     28.660      0.000       0.214       0.245\n",
      "workingday        0.1027      0.025      4.047      0.000       0.053       0.152\n",
      "temp              0.5278      0.033     15.897      0.000       0.463       0.593\n",
      "hum              -0.1595      0.037     -4.268      0.000      -0.233      -0.086\n",
      "windspeed        -0.1806      0.025     -7.110      0.000      -0.231      -0.131\n",
      "spring           -0.0554      0.021     -2.694      0.007      -0.096      -0.015\n",
      "summer            0.0526      0.015      3.553      0.000       0.024       0.082\n",
      "winter            0.1003      0.017      5.890      0.000       0.067       0.134\n",
      "Jul              -0.0549      0.018     -3.035      0.003      -0.090      -0.019\n",
      "Sept              0.0818      0.016      4.956      0.000       0.049       0.114\n",
      "Saturday          0.1126      0.027      4.202      0.000       0.060       0.165\n",
      "Sunday            0.0594      0.027      2.206      0.028       0.006       0.112\n",
      "Light Snow       -0.2463      0.026     -9.449      0.000      -0.298      -0.195\n",
      "Mist + Cloudy    -0.0578      0.010     -5.559      0.000      -0.078      -0.037\n",
      "==============================================================================\n",
      "Omnibus:                       64.879   Durbin-Watson:                   2.065\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              158.454\n",
      "Skew:                          -0.661   Prob(JB):                     3.91e-35\n",
      "Kurtosis:                       5.390   Cond. No.                         25.2\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "# Running the linear model\n",
    "lm2 = sm.OLS(y_train,X_train_lm).fit()  \n",
    "\n",
    "#Let's see the summary of our linear model\n",
    "print(lm2.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 13046,
     "status": "ok",
     "timestamp": 1595443880143,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "1-O7mIaN14iD"
   },
   "outputs": [],
   "source": [
    "X_train_lm = X_train_lm.drop(['const'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 483
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 13037,
     "status": "ok",
     "timestamp": 1595443880144,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "U6sBYa9B2Ap5",
    "outputId": "148ee2a7-de64-44c1-abba-6932b956e36d"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Features</th>\n",
       "      <th>VIF</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>hum</td>\n",
       "      <td>32.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>temp</td>\n",
       "      <td>18.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>workingday</td>\n",
       "      <td>18.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Saturday</td>\n",
       "      <td>4.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>windspeed</td>\n",
       "      <td>4.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>spring</td>\n",
       "      <td>4.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Sunday</td>\n",
       "      <td>4.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>winter</td>\n",
       "      <td>3.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>summer</td>\n",
       "      <td>3.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Mist + Cloudy</td>\n",
       "      <td>2.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>yr</td>\n",
       "      <td>2.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Jul</td>\n",
       "      <td>1.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Sept</td>\n",
       "      <td>1.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Light Snow</td>\n",
       "      <td>1.25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Features    VIF\n",
       "3             hum  32.14\n",
       "2            temp  18.98\n",
       "1      workingday  18.41\n",
       "10       Saturday   4.91\n",
       "4       windspeed   4.90\n",
       "5          spring   4.80\n",
       "11         Sunday   4.76\n",
       "7          winter   3.71\n",
       "6          summer   3.03\n",
       "13  Mist + Cloudy   2.31\n",
       "0              yr   2.09\n",
       "8             Jul   1.60\n",
       "9            Sept   1.38\n",
       "12     Light Snow   1.25"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculate the VIFs for the new model\n",
    "from statsmodels.stats.outliers_influence import variance_inflation_factor\n",
    "\n",
    "vif = pd.DataFrame()\n",
    "X = X_train_lm\n",
    "vif['Features'] = X.columns\n",
    "vif['VIF'] = [variance_inflation_factor(X.values, i) for i in range(X.shape[1])]\n",
    "vif['VIF'] = round(vif['VIF'], 2)\n",
    "vif = vif.sort_values(by = \"VIF\", ascending = False)\n",
    "vif"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 68
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 13027,
     "status": "ok",
     "timestamp": 1595443880146,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "Whlt2iha-Qff",
    "outputId": "19cf4e04-ee41-4562-f9cc-9499c90d2fa0"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['yr', 'workingday', 'temp', 'windspeed', 'spring', 'summer', 'winter',\n",
       "       'Jul', 'Sept', 'Saturday', 'Sunday', 'Light Snow', 'Mist + Cloudy'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train_new1 = X_train_lm.drop([\"hum\"], axis = 1)\n",
    "X_train_new1.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 13013,
     "status": "ok",
     "timestamp": 1595443880147,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "yzZTSbIf_Vuf"
   },
   "outputs": [],
   "source": [
    "import statsmodels.api as sm  \n",
    "X_train_lm = sm.add_constant(X_train_new1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 646
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 12991,
     "status": "ok",
     "timestamp": 1595443880148,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "f1oVYPlIplVC",
    "outputId": "68c94c74-a5f0-4105-9741-2092cb22933b"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                    cnt   R-squared:                       0.842\n",
      "Model:                            OLS   Adj. R-squared:                  0.838\n",
      "Method:                 Least Squares   F-statistic:                     203.0\n",
      "Date:                Sun, 26 Jul 2020   Prob (F-statistic):          5.73e-189\n",
      "Time:                        01:16:19   Log-Likelihood:                 508.65\n",
      "No. Observations:                 510   AIC:                            -989.3\n",
      "Df Residuals:                     496   BIC:                            -930.0\n",
      "Df Model:                          13                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "=================================================================================\n",
      "                    coef    std err          t      P>|t|      [0.025      0.975]\n",
      "---------------------------------------------------------------------------------\n",
      "const             0.1005      0.038      2.618      0.009       0.025       0.176\n",
      "yr                0.2336      0.008     28.839      0.000       0.218       0.250\n",
      "workingday        0.1034      0.026      4.008      0.000       0.053       0.154\n",
      "temp              0.4920      0.033     15.056      0.000       0.428       0.556\n",
      "windspeed        -0.1491      0.025     -6.032      0.000      -0.198      -0.101\n",
      "spring           -0.0653      0.021     -3.139      0.002      -0.106      -0.024\n",
      "summer            0.0465      0.015      3.101      0.002       0.017       0.076\n",
      "winter            0.0859      0.017      5.058      0.000       0.053       0.119\n",
      "Jul              -0.0500      0.018     -2.723      0.007      -0.086      -0.014\n",
      "Sept              0.0758      0.017      4.532      0.000       0.043       0.109\n",
      "Saturday          0.1152      0.027      4.225      0.000       0.062       0.169\n",
      "Sunday            0.0571      0.027      2.085      0.038       0.003       0.111\n",
      "Light Snow       -0.2904      0.024    -11.931      0.000      -0.338      -0.243\n",
      "Mist + Cloudy    -0.0835      0.009     -9.669      0.000      -0.100      -0.067\n",
      "==============================================================================\n",
      "Omnibus:                       66.977   Durbin-Watson:                   2.059\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              163.728\n",
      "Skew:                          -0.681   Prob(JB):                     2.80e-36\n",
      "Kurtosis:                       5.419   Cond. No.                         22.6\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "lm3 = sm.OLS(y_train,X_train_lm).fit()   # Running the linear model\n",
    "#Let's see the summary of our linear model\n",
    "print(lm3.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 12971,
     "status": "ok",
     "timestamp": 1595443880150,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "GHf2p5wl2NFV"
   },
   "outputs": [],
   "source": [
    "X_train_lm = X_train_lm.drop(['const'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 452
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 12955,
     "status": "ok",
     "timestamp": 1595443880159,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "gBskK2It2Som",
    "outputId": "ab622dbd-8245-46d6-fb35-247312942f37"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Features</th>\n",
       "      <th>VIF</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>workingday</td>\n",
       "      <td>16.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>temp</td>\n",
       "      <td>12.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>windspeed</td>\n",
       "      <td>4.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Saturday</td>\n",
       "      <td>4.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Sunday</td>\n",
       "      <td>4.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>spring</td>\n",
       "      <td>3.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>winter</td>\n",
       "      <td>2.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>summer</td>\n",
       "      <td>2.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>yr</td>\n",
       "      <td>2.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Jul</td>\n",
       "      <td>1.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Mist + Cloudy</td>\n",
       "      <td>1.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Sept</td>\n",
       "      <td>1.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Light Snow</td>\n",
       "      <td>1.09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Features    VIF\n",
       "1      workingday  16.19\n",
       "2            temp  12.73\n",
       "3       windspeed   4.75\n",
       "9        Saturday   4.45\n",
       "10         Sunday   4.21\n",
       "4          spring   3.82\n",
       "6          winter   2.80\n",
       "5          summer   2.75\n",
       "0              yr   2.07\n",
       "7             Jul   1.60\n",
       "12  Mist + Cloudy   1.58\n",
       "8            Sept   1.35\n",
       "11     Light Snow   1.09"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculate the VIFs for the new model\n",
    "from statsmodels.stats.outliers_influence import variance_inflation_factor\n",
    "\n",
    "vif = pd.DataFrame()\n",
    "X = X_train_lm\n",
    "vif['Features'] = X.columns\n",
    "vif['VIF'] = [variance_inflation_factor(X.values, i) for i in range(X.shape[1])]\n",
    "vif['VIF'] = round(vif['VIF'], 2)\n",
    "vif = vif.sort_values(by = \"VIF\", ascending = False)\n",
    "vif"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 68
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 12934,
     "status": "ok",
     "timestamp": 1595443880164,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "F06-NbZgkhD_",
    "outputId": "a81026b7-148a-4537-e5b2-482de9486e74"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['yr', 'temp', 'windspeed', 'spring', 'summer', 'winter', 'Jul', 'Sept',\n",
       "       'Saturday', 'Sunday', 'Light Snow', 'Mist + Cloudy'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train_new2 = X_train_new1.drop([\"workingday\"], axis = 1)\n",
    "X_train_new2.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 12907,
     "status": "ok",
     "timestamp": 1595443880167,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "kl67Clpkk4_V"
   },
   "outputs": [],
   "source": [
    "# Adding a constant variable \n",
    "import statsmodels.api as sm  \n",
    "X_train_lm = sm.add_constant(X_train_new2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 629
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 12882,
     "status": "ok",
     "timestamp": 1595443880177,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "t-fMfi7elFRr",
    "outputId": "96169496-046b-4465-9ed7-7d63eb225736"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                    cnt   R-squared:                       0.837\n",
      "Model:                            OLS   Adj. R-squared:                  0.833\n",
      "Method:                 Least Squares   F-statistic:                     212.1\n",
      "Date:                Sun, 26 Jul 2020   Prob (F-statistic):          1.01e-186\n",
      "Time:                        01:16:23   Log-Likelihood:                 500.52\n",
      "No. Observations:                 510   AIC:                            -975.0\n",
      "Df Residuals:                     497   BIC:                            -920.0\n",
      "Df Model:                          12                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "=================================================================================\n",
      "                    coef    std err          t      P>|t|      [0.025      0.975]\n",
      "---------------------------------------------------------------------------------\n",
      "const             0.2005      0.030      6.771      0.000       0.142       0.259\n",
      "yr                0.2341      0.008     28.476      0.000       0.218       0.250\n",
      "temp              0.4934      0.033     14.874      0.000       0.428       0.559\n",
      "windspeed        -0.1513      0.025     -6.031      0.000      -0.201      -0.102\n",
      "spring           -0.0679      0.021     -3.217      0.001      -0.109      -0.026\n",
      "summer            0.0469      0.015      3.081      0.002       0.017       0.077\n",
      "winter            0.0829      0.017      4.818      0.000       0.049       0.117\n",
      "Jul              -0.0492      0.019     -2.639      0.009      -0.086      -0.013\n",
      "Sept              0.0721      0.017      4.257      0.000       0.039       0.105\n",
      "Saturday          0.0157      0.011      1.371      0.171      -0.007       0.038\n",
      "Sunday           -0.0422      0.012     -3.562      0.000      -0.066      -0.019\n",
      "Light Snow       -0.2858      0.025    -11.578      0.000      -0.334      -0.237\n",
      "Mist + Cloudy    -0.0816      0.009     -9.323      0.000      -0.099      -0.064\n",
      "==============================================================================\n",
      "Omnibus:                       80.763   Durbin-Watson:                   2.010\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              210.920\n",
      "Skew:                          -0.791   Prob(JB):                     1.58e-46\n",
      "Kurtosis:                       5.725   Cond. No.                         17.5\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "# Running the linear model\n",
    "lm4 = sm.OLS(y_train,X_train_lm).fit()   \n",
    "\n",
    "#Let's see the summary of our linear model\n",
    "print(lm4.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 68
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 12843,
     "status": "ok",
     "timestamp": 1595443880181,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "tEgRwSHd2o19",
    "outputId": "33b40f37-9e41-437c-e6af-4067bcb3acb8"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['yr', 'temp', 'windspeed', 'spring', 'summer', 'winter', 'Jul', 'Sept',\n",
       "       'Sunday', 'Light Snow', 'Mist + Cloudy'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train_new3 = X_train_new2.drop([\"Saturday\"], axis = 1)\n",
    "X_train_new3.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 612
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 12839,
     "status": "ok",
     "timestamp": 1595443880195,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "np7dKHS321G6",
    "outputId": "563dce34-f788-49e4-f60c-0fa0d18c812b"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                    cnt   R-squared:                       0.836\n",
      "Model:                            OLS   Adj. R-squared:                  0.832\n",
      "Method:                 Least Squares   F-statistic:                     230.8\n",
      "Date:                Sun, 26 Jul 2020   Prob (F-statistic):          1.65e-187\n",
      "Time:                        01:16:24   Log-Likelihood:                 499.56\n",
      "No. Observations:                 510   AIC:                            -975.1\n",
      "Df Residuals:                     498   BIC:                            -924.3\n",
      "Df Model:                          11                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "=================================================================================\n",
      "                    coef    std err          t      P>|t|      [0.025      0.975]\n",
      "---------------------------------------------------------------------------------\n",
      "const             0.2036      0.030      6.889      0.000       0.146       0.262\n",
      "yr                0.2338      0.008     28.423      0.000       0.218       0.250\n",
      "temp              0.4923      0.033     14.832      0.000       0.427       0.557\n",
      "windspeed        -0.1498      0.025     -5.970      0.000      -0.199      -0.100\n",
      "spring           -0.0680      0.021     -3.219      0.001      -0.109      -0.026\n",
      "summer            0.0467      0.015      3.067      0.002       0.017       0.077\n",
      "winter            0.0831      0.017      4.824      0.000       0.049       0.117\n",
      "Jul              -0.0486      0.019     -2.607      0.009      -0.085      -0.012\n",
      "Sept              0.0721      0.017      4.253      0.000       0.039       0.105\n",
      "Sunday           -0.0451      0.012     -3.862      0.000      -0.068      -0.022\n",
      "Light Snow       -0.2856      0.025    -11.560      0.000      -0.334      -0.237\n",
      "Mist + Cloudy    -0.0816      0.009     -9.311      0.000      -0.099      -0.064\n",
      "==============================================================================\n",
      "Omnibus:                       76.151   Durbin-Watson:                   2.009\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              207.716\n",
      "Skew:                          -0.733   Prob(JB):                     7.85e-46\n",
      "Kurtosis:                       5.762   Cond. No.                         17.4\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "# Adding a constant variable \n",
    "import statsmodels.api as sm  \n",
    "X_train_lm = sm.add_constant(X_train_new3)\n",
    "\n",
    "# Running the linear model\n",
    "lm5 = sm.OLS(y_train,X_train_lm).fit()   \n",
    "\n",
    "#Let's see the summary of our linear model\n",
    "print(lm5.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 12822,
     "status": "ok",
     "timestamp": 1595443880198,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "uzqP_uyOb03X"
   },
   "outputs": [],
   "source": [
    "X_train_lm1 = X_train_lm.drop(['const'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 390
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 12800,
     "status": "ok",
     "timestamp": 1595443880199,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "XbzVIa3nb03n",
    "outputId": "b7038a33-832e-46a3-95e6-16104bbdbcb2"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Features</th>\n",
       "      <th>VIF</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>temp</td>\n",
       "      <td>5.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>windspeed</td>\n",
       "      <td>4.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>summer</td>\n",
       "      <td>2.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>spring</td>\n",
       "      <td>2.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>yr</td>\n",
       "      <td>2.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>winter</td>\n",
       "      <td>1.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Jul</td>\n",
       "      <td>1.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Mist + Cloudy</td>\n",
       "      <td>1.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Sept</td>\n",
       "      <td>1.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Sunday</td>\n",
       "      <td>1.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Light Snow</td>\n",
       "      <td>1.08</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Features   VIF\n",
       "1            temp  5.13\n",
       "2       windspeed  4.60\n",
       "4          summer  2.22\n",
       "3          spring  2.09\n",
       "0              yr  2.07\n",
       "5          winter  1.80\n",
       "6             Jul  1.59\n",
       "10  Mist + Cloudy  1.55\n",
       "7            Sept  1.33\n",
       "8          Sunday  1.17\n",
       "9      Light Snow  1.08"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculate the VIFs for the new model\n",
    "from statsmodels.stats.outliers_influence import variance_inflation_factor\n",
    "\n",
    "vif = pd.DataFrame()\n",
    "X = X_train_lm1\n",
    "vif['Features'] = X.columns\n",
    "vif['VIF'] = [variance_inflation_factor(X.values, i) for i in range(X.shape[1])]\n",
    "vif['VIF'] = round(vif['VIF'], 2)\n",
    "vif = vif.sort_values(by = \"VIF\", ascending = False)\n",
    "vif"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 68
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 12787,
     "status": "ok",
     "timestamp": 1595443880205,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "RuQoAOblIP3t",
    "outputId": "ac7c7424-0d83-478a-b04e-89e4ef8029a7"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['const', 'yr', 'temp', 'windspeed', 'spring', 'summer', 'winter', 'Jul',\n",
       "       'Sept', 'Sunday', 'Light Snow', 'Mist + Cloudy'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train_lm.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "ERPsW4Jkb030"
   },
   "source": [
    "## Residual Analysis of the train data\n",
    "\n",
    "So, now to check if the error terms are also normally distributed (which is infact, one of the major assumptions of linear regression), let us plot the histogram of the error terms and see what it looks like."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 12776,
     "status": "ok",
     "timestamp": 1595443880210,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "pZYcDjXDb032"
   },
   "outputs": [],
   "source": [
    "y_train_cnt = lm5.predict(X_train_lm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 12765,
     "status": "ok",
     "timestamp": 1595443880212,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "ubJF4qwlb04E"
   },
   "outputs": [],
   "source": [
    "# Importing the required libraries for plots.\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 333
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 12757,
     "status": "ok",
     "timestamp": 1595443880215,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "dPNJ5QJ8b04R",
    "outputId": "1f87df44-cf00-4978-c93b-0e6a6d5a57d3"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Errors')"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the histogram of the error terms\n",
    "fig = plt.figure()\n",
    "sns.distplot((y_train - y_train_cnt), bins = 20)\n",
    "fig.suptitle('Error Terms', fontsize = 20)                  # Plot heading \n",
    "plt.xlabel('Errors', fontsize = 18)                         # X-label"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "we can see the error term are normally distributed \n",
    "and  residuals have mean value of zero .\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "tv5d5IEob04q"
   },
   "source": [
    "## Making Predictions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "JuAvJb9Fb04t"
   },
   "source": [
    "#### Applying the scaling on the test sets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 12752,
     "status": "ok",
     "timestamp": 1595443880223,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "4VLR6yoEb04z"
   },
   "outputs": [],
   "source": [
    "num_vars = ['temp', 'hum', 'windspeed','cnt']\n",
    "\n",
    "df_test[num_vars] = scaler.transform(df_test[num_vars])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "l2A9ndS8b05T"
   },
   "source": [
    "#### Dividing into X_test and y_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 12746,
     "status": "ok",
     "timestamp": 1595443880227,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "-8EWqhHjb05a"
   },
   "outputs": [],
   "source": [
    "y_test = df_test.pop('cnt')\n",
    "X_test = df_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 12739,
     "status": "ok",
     "timestamp": 1595443880229,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "gMkzRRSIb05n"
   },
   "outputs": [],
   "source": [
    "# Now let's use our model to make predictions.\n",
    "# Creating X_test_new dataframe by dropping variables from X_test\n",
    "X_test_new = X_test[X_train_lm1.columns]\n",
    "\n",
    "# Adding a constant variable \n",
    "X_test_new = sm.add_constant(X_test_new)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 68
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 12730,
     "status": "ok",
     "timestamp": 1595443880231,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "03LlKWXFYP85",
    "outputId": "e406cb25-e105-4cdf-d890-607c4cc634fa"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['const', 'yr', 'temp', 'windspeed', 'spring', 'summer', 'winter', 'Jul',\n",
       "       'Sept', 'Sunday', 'Light Snow', 'Mist + Cloudy'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test_new.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 12720,
     "status": "ok",
     "timestamp": 1595443880233,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "W3Sx02Lgb051"
   },
   "outputs": [],
   "source": [
    "# Making predictions\n",
    "y_pred = lm5.predict(X_test_new)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>           <td>cnt</td>       <th>  R-squared:         </th> <td>   0.836</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.832</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   230.8</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Sun, 26 Jul 2020</td> <th>  Prob (F-statistic):</th> <td>1.65e-187</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>05:44:06</td>     <th>  Log-Likelihood:    </th> <td>  499.56</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>   510</td>      <th>  AIC:               </th> <td>  -975.1</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>   498</td>      <th>  BIC:               </th> <td>  -924.3</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>    11</td>      <th>                     </th>     <td> </td>    \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>    \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "        <td></td>           <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>const</th>         <td>    0.2036</td> <td>    0.030</td> <td>    6.889</td> <td> 0.000</td> <td>    0.146</td> <td>    0.262</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>yr</th>            <td>    0.2338</td> <td>    0.008</td> <td>   28.423</td> <td> 0.000</td> <td>    0.218</td> <td>    0.250</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>temp</th>          <td>    0.4923</td> <td>    0.033</td> <td>   14.832</td> <td> 0.000</td> <td>    0.427</td> <td>    0.557</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>windspeed</th>     <td>   -0.1498</td> <td>    0.025</td> <td>   -5.970</td> <td> 0.000</td> <td>   -0.199</td> <td>   -0.100</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>spring</th>        <td>   -0.0680</td> <td>    0.021</td> <td>   -3.219</td> <td> 0.001</td> <td>   -0.109</td> <td>   -0.026</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>summer</th>        <td>    0.0467</td> <td>    0.015</td> <td>    3.067</td> <td> 0.002</td> <td>    0.017</td> <td>    0.077</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>winter</th>        <td>    0.0831</td> <td>    0.017</td> <td>    4.824</td> <td> 0.000</td> <td>    0.049</td> <td>    0.117</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Jul</th>           <td>   -0.0486</td> <td>    0.019</td> <td>   -2.607</td> <td> 0.009</td> <td>   -0.085</td> <td>   -0.012</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Sept</th>          <td>    0.0721</td> <td>    0.017</td> <td>    4.253</td> <td> 0.000</td> <td>    0.039</td> <td>    0.105</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Sunday</th>        <td>   -0.0451</td> <td>    0.012</td> <td>   -3.862</td> <td> 0.000</td> <td>   -0.068</td> <td>   -0.022</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Light Snow</th>    <td>   -0.2856</td> <td>    0.025</td> <td>  -11.560</td> <td> 0.000</td> <td>   -0.334</td> <td>   -0.237</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Mist + Cloudy</th> <td>   -0.0816</td> <td>    0.009</td> <td>   -9.311</td> <td> 0.000</td> <td>   -0.099</td> <td>   -0.064</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td>76.151</td> <th>  Durbin-Watson:     </th> <td>   2.009</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.000</td> <th>  Jarque-Bera (JB):  </th> <td> 207.716</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td>-0.733</td> <th>  Prob(JB):          </th> <td>7.85e-46</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 5.762</td> <th>  Cond. No.          </th> <td>    17.4</td>\n",
       "</tr>\n",
       "</table><br/><br/>Warnings:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                    cnt   R-squared:                       0.836\n",
       "Model:                            OLS   Adj. R-squared:                  0.832\n",
       "Method:                 Least Squares   F-statistic:                     230.8\n",
       "Date:                Sun, 26 Jul 2020   Prob (F-statistic):          1.65e-187\n",
       "Time:                        05:44:06   Log-Likelihood:                 499.56\n",
       "No. Observations:                 510   AIC:                            -975.1\n",
       "Df Residuals:                     498   BIC:                            -924.3\n",
       "Df Model:                          11                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "=================================================================================\n",
       "                    coef    std err          t      P>|t|      [0.025      0.975]\n",
       "---------------------------------------------------------------------------------\n",
       "const             0.2036      0.030      6.889      0.000       0.146       0.262\n",
       "yr                0.2338      0.008     28.423      0.000       0.218       0.250\n",
       "temp              0.4923      0.033     14.832      0.000       0.427       0.557\n",
       "windspeed        -0.1498      0.025     -5.970      0.000      -0.199      -0.100\n",
       "spring           -0.0680      0.021     -3.219      0.001      -0.109      -0.026\n",
       "summer            0.0467      0.015      3.067      0.002       0.017       0.077\n",
       "winter            0.0831      0.017      4.824      0.000       0.049       0.117\n",
       "Jul              -0.0486      0.019     -2.607      0.009      -0.085      -0.012\n",
       "Sept              0.0721      0.017      4.253      0.000       0.039       0.105\n",
       "Sunday           -0.0451      0.012     -3.862      0.000      -0.068      -0.022\n",
       "Light Snow       -0.2856      0.025    -11.560      0.000      -0.334      -0.237\n",
       "Mist + Cloudy    -0.0816      0.009     -9.311      0.000      -0.099      -0.064\n",
       "==============================================================================\n",
       "Omnibus:                       76.151   Durbin-Watson:                   2.009\n",
       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              207.716\n",
       "Skew:                          -0.733   Prob(JB):                     7.85e-46\n",
       "Kurtosis:                       5.762   Cond. No.                         17.4\n",
       "==============================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "\"\"\""
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lm5.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.805407680173852"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import r2_score \n",
    "r2_score(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "soIYPYmVb06B"
   },
   "source": [
    "## Model Evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 51
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 12708,
     "status": "ok",
     "timestamp": 1595443880238,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "JBtbOkQ7fqWQ",
    "outputId": "749344b4-88fe-4530-87cb-c724bb3c4747"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(219,)\n",
      "(219,)\n"
     ]
    }
   ],
   "source": [
    "print(y_test.shape)\n",
    "print(y_pred.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 333
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 12702,
     "status": "ok",
     "timestamp": 1595443880243,
     "user": {
      "displayName": "Chaithanya Madivada",
      "photoUrl": "",
      "userId": "14669070391861439923"
     },
     "user_tz": -330
    },
    "id": "52THJ_H8b06C",
    "outputId": "29f35007-d423-42d3-a3c0-d56120681c78"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'y_pred')"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting y_test and y_pred to understand the spread.\n",
    "fig = plt.figure()\n",
    "plt.scatter(y_test,y_pred)\n",
    "fig.suptitle('y_test vs y_pred', fontsize=20)              # Plot heading \n",
    "plt.xlabel('y_test', fontsize=18)                          # X-label\n",
    "plt.ylabel('y_pred', fontsize=16)                          # Y-label"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "We can see that the equation of our best fitted line is:\n",
    "\n",
    "$ cnt = 0.2036 + 0.2338  \\times  yr + 0.4923  \\times  temp - 0.1498 \\times windspeed - 0.0680 \\times spring + 0.0467 \\times summer + 0.0831 \\times winter - 0.0486 \\times Jul + 0.0721 \\times Sept - 0.0451 \\times Sunday - 0.2856 \\times Light Snow - 0.0816 \\times Mist + Cloudy $\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Overall we have a decent model, but we also acknowledge that we could do better. \n",
    "\n",
    "We have a some options:\n",
    "1. Add new features (holiday/hum , etc.)\n",
    "2. Build a non-linear model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "colab": {
   "collapsed_sections": [
    "YBxNK2aRb0xS"
   ],
   "name": "Day+assignment + using+RFE.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}