Linear Regression Project: With the data of an E-Commerce company, predict whether the company should focus on developing its mobile app or website.

Logistic Regression Project (Click on Advertisement): With a fake advertising data set, indicating whether or not a particular internet user clicked on an Advertisement. Created a Logistic Regression model that will predict whether or not they will click on an ad based on the features of that user.

K-Means Clustering Project: Used K-Means Clustering to cluster Universities into two groups, Private and Public.

K Nearest Neighbours Project: For a classified dataset, given the data and target class, a KNN model is built to predict a class for new data.