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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

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# 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)