本项目来自《机器学习实战 （Machine Learning in Action）》 作者：Peter Harrington
大部分代码为自建模型，后使用sklearn
代码和笔记内容：
1.knn
2.决策树
3.朴素贝叶斯
4.逻辑回归
5.svm
6.AdaBoost
7.正则化技术
8.聚类
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