datawhalechina/machine-learning-toy-code
《机器学习》（西瓜书）代码实战
This project helps students and learners bridge the gap between theoretical machine learning concepts and practical coding. It takes mathematical formulas from textbooks and provides corresponding code implementations, enhancing understanding and coding proficiency. The project offers practical experience with various algorithms, from linear regression to K-means, through hands-on coding examples.
945 stars. No commits in the last 6 months.
Use this if you are a student or aspiring data scientist who wants to understand how machine learning algorithms work mathematically and how to implement them in code.
Not ideal if you are looking for advanced, production-ready machine learning solutions or a comprehensive deep learning framework.
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945
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192
Language
Jupyter Notebook
License
MIT
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Last pushed
May 07, 2025
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