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https://github.com/huangcongqing/sklearn

scikit-learn (sklearn) 常用的机器学习,包括回归(Regression)、降维(Dimensionality Reduction)、分类(Classfication)、聚类(Clustering)等方法
https://github.com/huangcongqing/sklearn

scikit-learn sklearn

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scikit-learn (sklearn) 常用的机器学习,包括回归(Regression)、降维(Dimensionality Reduction)、分类(Classfication)、聚类(Clustering)等方法

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README

        

# sklearn

机器学习库

* https://scikit-learn.org/stable/index.html#
* 中文版:https://sklearn.apachecn.org/#/

![](https://img-blog.csdn.net/20181013113947947?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2Z1cWl1YWk=/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70)

## Tutorials 教程

sklearn安装版本:0.24

### 菜菜的机器学习sklearn

* 视频:https://www.bilibili.com/video/BV1vJ41187hk
* 代码:[菜菜的机器学习sklearn](菜菜的机器学习sklearn)
* 参考代码:https://github.com/ys1305/sklearn-ml
* 01决策树
* 02随机森林
* 03特征工程
* 04降维算法
* 05逻辑回归
* 06聚类算法
* 07SVM
* 08SVM案例
* 09线性回归
* 10朴素贝叶斯
* 11XGBoost
* 12神经网络
* PPT:[PPT](菜菜的sklearn直播课件)

### 莫凡视频教程

视频:https://www.bilibili.com/video/av17003173/?p=3

代码:

### 点云机器学习sklearn

参考代码:[shaozhenghan](https://github.com/shaozhenghan)/[PointCloud_Classification_using_ML](https://github.com/shaozhenghan/PointCloud_Classification_using_ML)

代码:[PointCloud_Classification_using_ML-master](PointCloud_Classification_using_ML-master)