UCSD COGS108 数据科学实战中文笔记·翻译完成

末蓝、 2022-02-22 09:59 112阅读 0赞

> 原文：[COGS108/Tutorials][COGS108_Tutorials]
> 
> 译者：[飞龙][Link 1]
> 
> 协议：[CC BY-NC-SA 4.0][]
> 
> 欢迎任何人参与和完善：一个人可以走的很快，但是一群人却可以走的更远。

*  [ApacheCN 机器学习交流群 629470233][ApacheCN _ 629470233]
 *  [ApacheCN 学习资源][ApacheCN]

*  [在线阅读][Link 2]
 *  [PDF格式][PDF]
 *  [EPUB格式][EPUB]
 *  [MOBI格式][MOBI]
 *  [代码仓库][Link 3]

## 目录 ##

*  UCSD COGS108 数据科学实战中文笔记
 *  [零、数据科学实战][Link 4]
 *  [一、Jupyter 笔记本][Jupyter]
 *  [二、数据分析][Link 5]
 *  [三、Python][Python]
 *  [四、Python 中的数据科学][Python 1]
 *  [五、数据收集][Link 6]
 *  [六、数据整理][Link 7]
 *  [七、数据清理][Link 8]
 *  [八、数据隐私和匿名化][Link 9]
 *  [九、使用 Python 进行数据可视化][Python 2]
 *  [十、分布][Link 10]
 *  [十一、检验分布][Link 11]
 *  [十三、普通最小二乘][Link 12]
 *  [十四、线性模型][Link 13]
 *  [十五、聚类][Link 14]
 *  [十六、降维][Link 15]
 *  [十七、分类][Link 16]
 *  [十八、自然语言处理][Link 17]
 *  [附录一、有用的 Python 数据科学包][Python 3]
 *  [附录二、git/Github 版本控制工具][git_Github]

## 赞助我 ##

![841aea59ly1fx0qnvulnjj2074074747.jpg][]

[COGS108_Tutorials]: https://github.com/COGS108/Tutorials
[Link 1]: https://github.com/wizardforcel
[CC BY-NC-SA 4.0]: http://creativecommons.org/licenses/by-nc-sa/4.0/
[ApacheCN _ 629470233]: http://shang.qq.com/wpa/qunwpa?idkey=30e5f1123a79867570f665aa3a483ca404b1c3f77737bc01ec520ed5f078ddef
[ApacheCN]: http://www.apachecn.org/
[Link 2]: https://www.gitbook.com/book/wizardforcel/ucsd-cogs108-notes/details
[PDF]: https://www.gitbook.com/download/pdf/book/wizardforcel/ucsd-cogs108-notes
[EPUB]: https://www.gitbook.com/download/epub/book/wizardforcel/ucsd-cogs108-notes
[MOBI]: https://www.gitbook.com/download/mobi/book/wizardforcel/ucsd-cogs108-notes
[Link 3]: https://github.com/apachecn/ucsd-cogs108-notes
[Link 4]: https://github.com/apachecn/ucsd-cogs108-notes/blob/master/docs/00-Introduction.md
[Jupyter]: https://github.com/apachecn/ucsd-cogs108-notes/blob/master/docs/01-JupyterNotebooks.md
[Link 5]: https://github.com/apachecn/ucsd-cogs108-notes/blob/master/docs/02-DataAnalysis.md
[Python]: https://github.com/apachecn/ucsd-cogs108-notes/blob/master/docs/03-Python.md
[Python 1]: https://github.com/apachecn/ucsd-cogs108-notes/blob/master/docs/04-DataSciencePython.md
[Link 6]: https://github.com/apachecn/ucsd-cogs108-notes/blob/master/docs/05-DataGathering.md
[Link 7]: https://github.com/apachecn/ucsd-cogs108-notes/blob/master/docs/06-DataWrangling.md
[Link 8]: https://github.com/apachecn/ucsd-cogs108-notes/blob/master/docs/07-DataCleaning.md
[Link 9]: https://github.com/apachecn/ucsd-cogs108-notes/blob/master/docs/08-DataPrivacy&Anonymization.md
[Python 2]: https://github.com/apachecn/ucsd-cogs108-notes/blob/master/docs/09-DataVisualization.md
[Link 10]: https://github.com/apachecn/ucsd-cogs108-notes/blob/master/docs/10-Distributions.md
[Link 11]: https://github.com/apachecn/ucsd-cogs108-notes/blob/master/docs/11-TestingDistributions.md
[Link 12]: https://github.com/apachecn/ucsd-cogs108-notes/blob/master/docs/13-OrdinaryLeastSquares.md
[Link 13]: https://github.com/apachecn/ucsd-cogs108-notes/blob/master/docs/14-LinearModels.md
[Link 14]: https://github.com/apachecn/ucsd-cogs108-notes/blob/master/docs/15-Clustering.md
[Link 15]: https://github.com/apachecn/ucsd-cogs108-notes/blob/master/docs/16-DimensionalityReduction.md
[Link 16]: https://github.com/apachecn/ucsd-cogs108-notes/blob/master/docs/17-Classification.md
[Link 17]: https://github.com/apachecn/ucsd-cogs108-notes/blob/master/docs/18-NaturalLanguageProcessing.md
[Python 3]: https://github.com/apachecn/ucsd-cogs108-notes/blob/master/docs/A1-PythonPackages.md
[git_Github]: https://github.com/apachecn/ucsd-cogs108-notes/blob/master/docs/A2-Git.md
[841aea59ly1fx0qnvulnjj2074074747.jpg]: /images/20220222/f4caa1d00d24426f91785dd6bc343a7c.png