> For the complete documentation index, see [llms.txt](https://luweikxy.gitbook.io/machine-learning-notes/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://luweikxy.gitbook.io/machine-learning-notes/python/library/scikit-learn.md).

# scikit-learn

## scikit-learn

* [返回顶层目录](https://luweikxy.gitbook.io/machine-learning-notes/python/library/pages/-LpO5vE88qYwjk5WM_Qf#目录)
* [返回上层目录](/machine-learning-notes/python.md#python)

## scikit-learn简介

**简单介绍**

关注机器学习的同学可以关注一下，很火的开源机器学习工具，这个方面很多例如去年年末Google开源的TensorFlow，或者Theano，caffe([贾扬清](https://www.zhihu.com/people/jiayangqing))，Keras等等，这是另外方面的问题。

主页：[An introduction to machine learning with scikit-learn](http://scikit-learn.org/stable/tutorial/basic/tutorial.html)

## 快速入门

[30分钟学会用scikit-learn的基本回归方法（线性、决策树、SVM、KNN，Adaboost和GBRT）](https://mp.weixin.qq.com/s?__biz=MzA4NzE1NzYyMw==\&mid=2247497622\&idx=2\&sn=797bf376abb721eb4025e20243030c8d\&chksm=903f098ea748809882a1a54334e5f6e0357da2e767ff8f1c5828b5b9fe1b4ad9314ec1049b5c\&mpshare=1\&scene=1\&srcid=0512ZW8fM10mXudEppP6Ba9G#rd)

## 参考资料

* [如何系统地学习Python 中 matplotlib, numpy, scipy, pandas？](https://www.zhihu.com/question/37180159)

scikit-learn简介中的简单介绍就是复制的这里。