A collection of 4 end-to-end machine learning projects covering key ML techniques. Includes Customer Segmentation using K-Means clustering, Forest Cover Type Classification, Loan Approval Prediction, and Student Score Prediction using regression. Each project includes clean Python code and real datasets. Built with Scikit-learn, Pandas, and NumPy.