李航《统计学习方法》复现

Last update: Oct 22, 2021

Related tags

Machine Learning statistic_ml

Overview

本项目复现李航《统计学习方法》每一章节的算法

特点：

笔记摘要：在每个文件开头都会有一些核心的摘要
pythonic：这里会用尽可能规范的方式来实现，包括编程风格几乎严格按照PEP8
循序渐进：前期的算法会更list的方式来做计算，可读性比较强，后期几乎完全为numpy.array的计算，并且辅助详细的注释。

完成情况：

✅ perceptron
✅ KNN
✅ naive baysian
✅ 决策树
✅ 逻辑斯蒂回归
SVM
✅ Adaboost
✅ GMM
✅ HMM
CRF

Owner

long-termist

GitHub Repository

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