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
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📈Machine Learning code in Python3.x. Some notes about the practices please click here:（personal notes, for reference only）
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📈Machine Learning code in Python3.x. Some notes about the practices please click here:（personal notes, for reference only）
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