# Python和机器学习的notebook

本notebook教程包含了一些使用Python来学习机器学习的教程。通过本教程能够引导学习Python的基础知识和机器学习的背景和实际编程。


## References
更多的学习资料，可以自行在下属列表找找到适合自己的学习资料。

### Python & IPython
* [Python教程](https://www.liaoxuefeng.com/wiki/0014316089557264a6b348958f449949df42a6d3a2e542c000)
* [Python-Lectures](https://github.com/rajathkmp/Python-Lectures)
* [A gallery of interesting Jupyter Notebooks](https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks)
* [IPython tutorials](https://nbviewer.jupyter.org/github/ipython/ipython/blob/master/examples/IPython%20Kernel/Index.ipynb)
* [Examples from the IPython mini-book](https://github.com/rossant/ipython-minibook)
* [Code of the IPython Cookbook, Second Edition (2018)](https://github.com/ipython-books/cookbook-2nd-code)
* [scientific-python-lectures](http://nbviewer.jupyter.org/github/jrjohansson/scientific-python-lectures/tree/master/)


### Libs
* [numpy](http://www.numpy.org/)
* [matplotlib - 2D and 3D plotting in Python](http://nbviewer.jupyter.org/github/jrjohansson/scientific-python-lectures/blob/master/Lecture-4-Matplotlib.ipynb)
* [scipy](https://www.scipy.org/)
* [pytorch](https://pytorch.org/)
* [tensorflow](https://www.tensorflow.org/)


### Machine learning

* [ipython-notebooks: A collection of IPython notebooks covering various topics](https://github.com/jdwittenauer/ipython-notebooks)
* [Learn Data Science](http://learnds.com/)
* [AM207 2016](https://github.com/AM207/2016/tree/master)
