作者 | TeFuirnever 编辑 | Xiaowen
Github作者TeFuirnever开源了自己的机器学习-学习博客和实战代码,相当适合初学者入门。
作者博客:https://blog.csdn.net/tefuirneverGithub:https://github.com/TeFuirnever/Machine-Learning-in-Action
《机器学习实战》博客 - 总目录
https://blog.csdn.net/TeFuirnever/article/details/99701256《机器学习实战》代码
https://github.com/TeFuirnever/Machine-Learning-in-Action第1章 - 机器学习基础 - 博客
https://blog.csdn.net/TeFuirnever/article/details/99734084第2章 - k-近邻算法 - 博客
https://blog.csdn.net/TeFuirnever/article/details/99739021Ch02-KNN - 代码
https://github.com/TeFuirnever/Machine-Learning-in-Action/tree/master/Ch02-KNN第3章 - 决策树 - 博客
https://blog.csdn.net/TeFuirnever/article/details/99955515Ch03-DecisionTree - 代码
https://github.com/TeFuirnever/Machine-Learning-in-Action/tree/master/Ch03-DecisionTree第4章 - 基于概率论的分类方法:朴素贝叶斯 - 博客
https://blog.csdn.net/TeFuirnever/article/details/100108341Ch04-NaiveBayes - 代码
https://github.com/TeFuirnever/Machine-Learning-in-Action/tree/master/Ch04-NaiveBayes第5章 - Logistic 回归 - 博客
https://blog.csdn.net/TeFuirnever/article/details/100159150Ch05-Logistic - 代码
https://github.com/TeFuirnever/Machine-Learning-in-Action/tree/master/Ch05-Logistic第6章 - 支持向量机 - 博客
https://blog.csdn.net/TeFuirnever/article/details/99701322
Ch06-SVM - 代码
https://github.com/TeFuirnever/Machine-Learning-in-Action/tree/master/Ch06-SVM第7章 - 利用AdaBoost 元算法提高分类性能 - 博客
https://blog.csdn.net/TeFuirnever/article/details/100191706Ch07-AdaBoost - 代码
https://github.com/TeFuirnever/Machine-Learning-in-Action/tree/master/Ch07-AdaBoost第8章 - 预测数值型数据:回归 - 博客
https://blog.csdn.net/TeFuirnever/article/details/100572055Ch08-Regression - 代码
https://github.com/TeFuirnever/Machine-Learning-in-Action/tree/master/Ch08-Regression第9章 - 树回归 - 博客
https://blog.csdn.net/TeFuirnever/article/details/101294837Ch09-Regression Trees - 代码
https://github.com/TeFuirnever/Machine-Learning-in-Action/tree/master/Ch09-Regression%20Trees