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1. user-purchase-prediction-and-classification-using-support-vector-machine-algorithm user-purchase-prediction-and-classification-using-support-vector-machine-algorithm Public

   This project implements the Support Vector Machine (SVM) algorithm for predicting user purchase classification. The goal is to train an SVM classifier to predict whether a user will purchase a part…

   Jupyter Notebook 3

2. mall-customer-segmentation-using-k-means-clustering-algorithm mall-customer-segmentation-using-k-means-clustering-algorithm Public

   This project aims to perform customer segmentation on a Mall customer dataset using the K-Means clustering algorithm. The goal of this project is to cluster the customers based on their purchasing …

   Jupyter Notebook

3. iris-flower-classification-using-k-nearest-neighbor-algorithm iris-flower-classification-using-k-nearest-neighbor-algorithm Public

   This project uses the K-Nearest Neighbors (KNN) algorithm to classify Iris flowers based on their sepal and petal measurements. The dataset used in this project is the Iris Dataset, which includes …

   Jupyter Notebook 3

4. insurance-premium-prediction-using-logistic-regression insurance-premium-prediction-using-logistic-regression Public

   The problem involves using logistic regression to predict whether a person will purchase life insurance or not, based on their age. Since there are only two possible outcomes (i.e. purchase or not …

   Jupyter Notebook

5. titanic-survival-prediction-using-naive-bayes-classifier-algorithm titanic-survival-prediction-using-naive-bayes-classifier-algorithm Public

   This project aims to predict the survival of passengers aboard the Titanic using the Naive Bayes classifier algorithm. The dataset used in this project contains information about Titanic passengers…

   Jupyter Notebook 2

6. house-price-prediction-using-simple-linear-regression house-price-prediction-using-simple-linear-regression Public

   This project aims to predict the price of a house based on its area using simple linear regression. The dataset used in this project consists of 1000 houses in Monroe Township, New Jersey, and thei…

   Jupyter Notebook