datawhalechina/machine-learning-toy-code
datawhalechina/machine-learning-toy-code has 1,036 GitHub stars and 202 forks. GitHot measured +1 in 7 days. Last checked 2026-11-11 02:19 UTC. Last push 2025-05-07.
《机器学习》（西瓜书）代码实战
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README.md
Original西瓜书代码实战
本项目以西瓜书以及南瓜书为主要参考，其他资料为辅助，来进行常见机器学习代码的实战。主要特色为力求数码结合，即数学公式与相关代码的形神对应，能够帮助读者加深对公式的理解以及代码的熟练。
详细教程请阅读 西瓜书代码实战.pdf
算法进度
| 算法名称 | 相关材料 | 进度 | 备注 |
|---|---|---|---|
| 01-LinearRegression | sklearn | OK | |
| 02-LogisticRegression | sklearn | OK | |
| 03-DecisionTree | sklearn | OK | |
| 04-MLP | sklearn | OK | |
| 05-SVM | sklearn | OK | |
| 06-Bayes | sklearn | OK | |
| 07-Random Forest | sklearn | OK | |
| 08-AdaBoos | sklearn | OK | |
| 09-K-means | sklearn | OK | |
| 10-kNN | sklearn | OK | |
| 11-PCA | sklearn | OK | |
| 12-HMM | hmmlearn | OK | |
| 13-Visualization | sklearn | OK |
算法项目实战
学习完了西瓜书，手动实现相关的算法后，接下来就是到了实战的环节，datawhale开源的数据竞赛项目给大家施展自己coding的平台
贡献者
John Jim 算法实战 |
 牧小熊 chap 13 |
 梁家晖 chap 1-4 |
 张若萱 chap 5-8 |
 孙子涵 chap 9-12 |
Refs
统计学习方法、西瓜书、机器学习实战
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