# statistical-learning-method

**Repository Path**: hccsophie/statistical-learning-method

## Basic Information

- **Project Name**: statistical-learning-method
- **Description**: 《统计学习方法》笔记-基于Python算法实现
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-08-21
- **Last Updated**: 2021-08-21

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# statistical-learning-method
《统计学习方法》笔记-基于Python算法实现


notebook中2-knn和3-naive_bayes是基于这个项目的解读: [lihang_book_algorithm](https://github.com/nicolas-chan/lihang_book_algorithm)

4-decision_tree之后的笔记都是本项目的解读。



 第一章 [最小二乘法](http://nbviewer.jupyter.org/github/BrambleXu/statistical-learning-method/blob/master/LeastSquaresMethod/least_sqaure_method.ipynb)


 第二章 [感知机](http://nbviewer.jupyter.org/github/BrambleXu/statistical-learning-method/blob/master/Perceptron/Iris_perceptron.ipynb)

 第三章 [k近邻法](http://nbviewer.jupyter.org/github/BrambleXu/statistical-learning-method/blob/master/KNearestNeighbors/KNN.ipynb)，[note](http://nbviewer.jupyter.org/github/BrambleXu/statistical-learning-method/blob/master/notebooks/2-knn.ipynb)

 第四章 [朴素贝叶斯](http://nbviewer.jupyter.org/github/BrambleXu/statistical-learning-method/blob/master/NaiveBayes/GaussianNB.ipynb)，[note](http://nbviewer.jupyter.org/github/BrambleXu/statistical-learning-method/blob/master/notebooks/3-naive_bayes.ipynb)

 第五章 [决策树](http://nbviewer.jupyter.org/github/BrambleXu/statistical-learning-method/blob/master/DecisonTree/DT.ipynb)，[note](http://nbviewer.jupyter.org/github/BrambleXu/statistical-learning-method/blob/master/notebooks/4-decision_tree.ipynb)

 第六章 [逻辑斯谛回归](http://nbviewer.jupyter.org/github/BrambleXu/statistical-learning-method/blob/master/LogisticRegression/LR.ipynb)，[note](http://nbviewer.jupyter.org/github/BrambleXu/statistical-learning-method/blob/master/notebooks/5-logistic_regression.ipynb)

 第七章 [支持向量机](http://nbviewer.jupyter.org/github/BrambleXu/statistical-learning-method/blob/master/SVM/support-vector-machine.ipynb)，[note](http://nbviewer.jupyter.org/github/BrambleXu/statistical-learning-method/blob/master/notebooks/6-svm.ipynb)

 第八章 [AdaBoost](http://nbviewer.jupyter.org/github/BrambleXu/statistical-learning-method/blob/master/AdaBoost/Adaboost.ipynb)，[note](http://nbviewer.jupyter.org/github/BrambleXu/statistical-learning-method/blob/master/notebooks/7-adaboost.ipynb)

 第九章 [EM算法](http://nbviewer.jupyter.org/github/BrambleXu/statistical-learning-method/blob/master/EM/em.ipynb)