Skip to content

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

Notifications You must be signed in to change notification settings

yuyuisjia/ML-in-Action-Code-and-Note

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

26 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

ML-in-Action-Code-and-Note

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 ch11:使用Apriori算法进行关联分析 ch12:使用FP-growth算法来高效发现频繁项集 ch13:利用PCA简化数据 ch14:利用SVD简化数据 ch15:大数据与MapReduce

统一声明:主要参考书中所提供源码 @author: Peter Harrington

About

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

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%