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
Last synced: 4 months ago
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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
- Host: GitHub
- URL: https://github.com/huangcongqing/sklearn
- Owner: HuangCongQing
- License: mit
- Created: 2019-08-02T09:22:28.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2022-11-28T17:02:51.000Z (over 3 years ago)
- Last Synced: 2025-05-08T22:34:15.317Z (about 1 year ago)
- Topics: scikit-learn, sklearn
- Language: Jupyter Notebook
- Homepage: https://sklearn.apachecn.org/#/
- Size: 73.9 MB
- Stars: 15
- Watchers: 2
- Forks: 6
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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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/#/

## 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)