This repository accompanies a Chinese machine learning textbook (based on Li Hang’s Statistical Learning Methods and Zhou Zhihua’s Machine Learning), offering clean Python implementations of 26 classic algorithms across four categories: single-model supervised learning, ensemble supervised learning, unsupervised learning, and probabilistic models. The code is organized by chapter and written in Jupyter Notebooks, serving as supplementary material for readers learning algorithm theory and implementation.