# ML-in-Action-Code-and-Note

**Repository Path**: stam1nazzz/ML-in-Action-Code-and-Note

## Basic Information

- **Project Name**: ML-in-Action-Code-and-Note
- **Description**: :chart_with_upwards_trend:Machine Learning code in Python3.x.  （机器学习实战 py3代码整理）Some notes about the practices:（for reference only）
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-05-09
- **Last Updated**: 2021-02-07

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 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</br>
ch3：决策树</br>
ch4：基于概率论的分类方法：朴素贝叶斯</br>
ch5：Logistic回归</br>
ch6：支持向量机</br>
ch7：利用Adaboost元算法提高分类性能</br>
ch8：预测数值型数据：回归（线性回归）</br>
ch9：树回归</br>
ch10：K-均值聚类算法</br>
ch11:使用Apriori算法进行关联分析</br>
ch12:使用FP-growth算法来高效发现频繁项集</br>
ch13:利用PCA简化数据</br>
ch14：利用SVD简化数据</br>
ch15:大数据与MapReduce
</br>

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