https://github.com/wzyonggege/statistical-learning-method

《统计学习方法》笔记-基于Python算法实现
https://github.com/wzyonggege/statistical-learning-method

python statistical-learning

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《统计学习方法》笔记-基于Python算法实现

• Host: GitHub
• URL: https://github.com/wzyonggege/statistical-learning-method
• Owner: wzyonggege
• Created: 2017-12-28T03:21:08.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-01-09T02:12:01.000Z (over 6 years ago)
• Last Synced: 2024-03-03T21:38:03.384Z (4 months ago)
• Topics: python, statistical-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 211 KB
• Stars: 1,968
• Watchers: 71
• Forks: 669
• Open Issues: 5
• Metadata Files:
  • Readme: README.md

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• awesome-stars - statistical-learning-method - 基于Python算法实现 | wzyonggege | 2010 | (Jupyter Notebook)

README

        
# statistical-learning-method

《统计学习方法》笔记-基于Python算法实现

 第一章 [最小二乘法](https://github.com/wzyonggege/statistical-learning-method/blob/master/LeastSquaresMethod/least_sqaure_method.ipynb)

 第二章 [感知机](https://github.com/wzyonggege/statistical-learning-method/blob/master/Perceptron/Iris_perceptron.ipynb)

 第三章 [k近邻法](https://github.com/wzyonggege/statistical-learning-method/blob/master/KNearestNeighbors/KNN.ipynb)

 第四章 [朴素贝叶斯](https://github.com/wzyonggege/statistical-learning-method/blob/master/NaiveBayes/GaussianNB.ipynb)

 第五章 [决策树](https://github.com/wzyonggege/statistical-learning-method/blob/master/DecisonTree/DT.ipynb)

 第六章 [逻辑斯谛回归](https://github.com/wzyonggege/statistical-learning-method/blob/master/LogisticRegression/LR.ipynb)

 第七章 [支持向量机](https://github.com/wzyonggege/statistical-learning-method/blob/master/SVM/support-vector-machine.ipynb)

 第八章 [AdaBoost](https://github.com/wzyonggege/statistical-learning-method/blob/master/AdaBoost/Adaboost.ipynb)

 第九章 [EM算法](https://github.com/wzyonggege/statistical-learning-method/blob/master/EM/em.ipynb)