hanmq/MachineLearning_Zhouzhihua_ProblemSets resource

Health v2 · maintenance only

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1682 stars · 435 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of personal solutions to the exercises in Zhou Zhihua's 'Machine Learning' textbook (the 'Watermelon Book'), with algorithms like logistic regression, decision trees, SVM, and AdaBoost implemented from scratch in NumPy and Pandas. It serves as a study companion rather than a usable software library.

Use cases

• solutions to watermelon book exercises
• implement machine learning algorithms from scratch in numpy
• study companion for zhou zhihua machine learning textbook
• learn how decision trees and SVM work via manual implementation
• reference answers for machine learning course homework
• understand AdaBoost and naive bayes with simple python code

When to choose

• you are studying Zhou Zhihua's Machine Learning textbook and want worked exercise answers
• you want to see classic ML algorithms implemented from scratch without frameworks
• you prefer Chinese-language explanations with LaTeX formulas

When to avoid

• you need a production-ready machine learning library
• you want maintained, tested, or licensed code
• you need deep learning or modern LLM topics

Facets

learning-resource · maturity maintenance

machine-learning nlp machine-learning education tutorials python watermelon-book zhou-zhihua exercise-solutions numpy pandas textbook-companion chinese

Member repositories

For agents

markdown · JSON · MCP: product_card(name="hanmq/MachineLearning_Zhouzhihua_ProblemSets")