Algorithms/Statistical-Learning-Method_Code
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实现：[DecisionTree/DecisionTree.py](https://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/DecisionTree/DecisionTree.py)
### 第六章 逻辑斯蒂回归与最大熵模型：
(实现)逻辑斯蒂回归：[Logistic_and_maximum_entropy_models/logisticRegression.py](https://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/Logistic_and_maximum_entropy_models/logisticRegression.py)
(实现)最大熵：[Logistic_and_maximum_entropy_models/maxEntropy.py](https://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/Logistic_and_maximum_entropy_models/maxEntropy.py)
实现：逻辑斯蒂回归：[Logistic_and_maximum_entropy_models/logisticRegression.py](https://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/Logistic_and_maximum_entropy_models/logisticRegression.py)
实现：最大熵：[Logistic_and_maximum_entropy_models/maxEntropy.py](https://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/Logistic_and_maximum_entropy_models/maxEntropy.py)
### 第七章 支持向量机：
实现：[SVM/SVM.py](https://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/SVM/SVM.py)