Algorithms/Statistical-Learning-Method_Code
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《统计学习方法》算法实现
====
力求每行代码都有注释，重要部分注明公式来源。让以后学习的人能走得更快。具体可能会追求下方这样的代码，学习的时候可以照着书本公式看程序，让代码有据可查。如果觉得可以的话，欢迎打个星，我将很受鼓舞。
力求每行代码都有注释，重要部分注明公式来源。具体会追求下方这样的代码，学习者可以照着公式看程序，让代码有据可查。
![image](https://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/CodePic.png)
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### 第二章 感知机：
[Statistical-Learning-Method_Code/perceptron/perceptron_dichotomy.py](https://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/perceptron/perceptron_dichotomy.py)
### 第三章 K邻近：
### 第三章 K近邻：
[Statistical-Learning-Method_Code/KNN/KNN.py](https://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/KNN/KNN.py)
### 第四章 朴素贝叶斯：
[Statistical-Learning-Method_Code/NaiveBayes/NaiveBayes.py](https://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/NaiveBayes/NaiveBayes.py)