Machine Learning code in Python3.x. Some notes about the practices please click here:
ch2:k-近邻算法 ch3:决策树 ch4:基于概率论的分类方法:朴素贝叶斯 ch5:Logistic回归 ch6:支持向量机 ch7:利用Adaboost元算法提高分类性能 ch8:预测数值型数据:回归(线性回归) ch9:树回归 ch10:K-均值聚类算法
This project forked from stonycat/ml-in-action-code-and-note
Machine Learning code in Python3.x. Some notes about the practices please click here:
Home Page: http://blog.csdn.net/sinat_17196995
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