TimeSeries

1. Time Series Analysis and Forecasting

This notebook contains detailed analysis and visualisation of water of Lake Bilancino. This notebook handles

• Missing value
• Resampling
• Statistical analysis
• ETS decompostion
• Simple Moving Average and Exponentially Weighted Moving Average
• Plotting time series with .rolling()
• ADF Test, Autocorrelation, Autocorrelation, ACF and PACF plots

Prediction:

• ARIMA used to analysis and predict values.
• XGBRegressor used to analysis and predict unseen future values.

Simple Moving Average and Exponentially Weighted Moving Average

This notebook covers various visualisation for Simple Moving Average and Exponentially Weighted Moving Average. Can read more about mathematical concepts and detaled explanation of same in my medium blog here.

Deutsche Bank Stock Prediction Using LSTM

This notebook is used to analyse and visualise Deutsche Bank Equity in New York, Germany and France. LSTM model is created to predict the future value of stock of Equity in New York.