神书《机器学习实战》之代码整合（基于Python3）

作者 | TeFuirnever 编辑 | Xiaowen

来自 | 深度学习这件小事

导读

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/tefuirnever
Github：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/99739021

Ch02-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/99955515

Ch03-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/100108341

Ch04-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/100159150

Ch05-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/100191706

Ch07-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/100572055

Ch08-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/101294837

Ch09-Regression Trees - 代码

https://github.com/TeFuirnever/Machine-Learning-in-Action/tree/master/Ch09-Regression%20Trees