This repository contains a comprehensive data science tutorial course with Jupyter notebooks covering foundational ML topics including NumPy, Pandas, linear regression, decision trees, Naive Bayes, clustering, feature selection, and model evaluation. It uses scikit-learn for implementing ML algorithms and is structured as an instructor-led learning program.