一些机器学习方法的复现（持续更新中）.zip

## 机器学习算法实现 #### [K聚类](https://github.com/BarryRun/Machine-Learning-Practice/blob/master/Cluster/k_means.py)  #### [线性回归](https://github.com/BarryRun/Machine-Learning-Practice/blob/master/LinearRegression/linear_regression.py) #### [感知机](https://github.com/BarryRun/Machine-Learning-Practice/blob/master/Perceptron/Perceptron.py)  #### [朴素贝叶斯](https://github.com/BarryRun/Machine-Learning-Practice/blob/master/Naive%20Bayes/naive_bayes.py) #### [PCA降维](https://github.com/BarryRun/Machine-Learning-Practice/blob/master/PCA/pca.py) #### [决策树](https://github.com/BarryRun/Machine-Learning-Practice/blob/master/Decision%20Tree/decision_tree(ID3).py) #### [EM算法](https://github.com/BarryRun/Machine-Learning-Practice/blob/master/EM/em.py)