This repository is a continuously updated collection of machine learning tutorials presented in Jupyter Notebook format. The content balances mathematical foundations with practical implementations using Python scientific libraries including numpy, scipy, pandas, and scikit-learn. It covers deep learning frameworks such as PyTorch and Keras, reinforcement learning, model selection, clustering, recommendation systems, and other ML topics.