The repository consolidates notes and code on machine learning fundamentals inspired by Hang Li’s Statistical Learning Methods. It includes implementations of classic algorithms such as perceptron, SVM, AdaBoost, GBDT, EM algorithm, and Hidden Markov Models. Content also extends to XGBoost, clustering, deep learning, and NLP topics outside the textbook.