This repository contains personal exercise answers for Zhou Zhihua’s widely-used Machine Learning textbook, implementing each algorithm using numpy and pandas. It covers chapters on model evaluation and selection, linear models (logistic regression, LDA), decision trees, neural networks (BP, RBF), support vector machines, ensemble methods, and other core ML topics. The implementations serve as a study aid for learners working through the textbook.