李航《统计学习方法》复现

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
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