This repository provides detailed solutions for exercises in the Chinese textbook Statistical Learning Methods and Machine Learning Methods, covering traditional ML algorithms (perceptron, SVM, decision trees, EM, HMM) and deep learning topics (CNNs, RNNs, Transformers, GANs). It offers Jupyter notebooks with Python code implementations using Python 3.10+ and PyTorch, serving as a learning companion for students studying ML fundamentals.