hanmq/MachineLearning_Zhouzhihua_ProblemSets
Exercise solutions and algorithm implementations from Zhou Zhihua's Machine Learning textbook, covering model evaluation, neural networks, SVM, decision trees, and more.
Not currently ranked — collecting fresh signals.
star history
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.
Frequently asked
- What is hanmq/MachineLearning_Zhouzhihua_ProblemSets?
- Exercise solutions and algorithm implementations from Zhou Zhihua's Machine Learning textbook, covering model evaluation, neural networks, SVM, decision trees, and more.
- Is MachineLearning_Zhouzhihua_ProblemSets open source?
- Yes — hanmq/MachineLearning_Zhouzhihua_ProblemSets is an open-source project tracked on heatdrop.
- What language is MachineLearning_Zhouzhihua_ProblemSets written in?
- hanmq/MachineLearning_Zhouzhihua_ProblemSets is primarily written in Python.
- How popular is MachineLearning_Zhouzhihua_ProblemSets?
- hanmq/MachineLearning_Zhouzhihua_ProblemSets has 1.7k stars on GitHub.
- Where can I find MachineLearning_Zhouzhihua_ProblemSets?
- hanmq/MachineLearning_Zhouzhihua_ProblemSets is on GitHub at https://github.com/hanmq/MachineLearning_Zhouzhihua_ProblemSets.