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Machine Learning Notebooks
==========================
[![Gitter](https://badges.gitter.im/ageron/handson-ml.svg)](https://gitter.im/ageron/handson-ml?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
[![Gitter](https://badges.gitter.im/ageron/handson-ml.svg)](https://gitter.im/ageron/handson-ml?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) [![Binder](http://mybinder.org/badge.svg)](http://mybinder.org/repo/ageron/handson-ml)
This project aims at teaching you the fundamentals of Machine Learning in
python.
python. It contains the example code from my O'Reilly book [Hands-on Machine Learning with Scikit-Learn and TensorFlow](http://shop.oreilly.com/product/0636920052289.do):
[![book](http://akamaicovers.oreilly.com/images/0636920052289/rc_cat.gif)](http://shop.oreilly.com/product/0636920052289.do)
Simply open the [Jupyter](http://jupyter.org/) notebooks you are interested in:
* using Binder: [![Binder](http://mybinder.org/badge.svg)](http://mybinder.org/repo/ageron/handson-ml)
* using Binder: [launch binder](http://mybinder.org/repo/ageron/handson-ml)
* this let's you experiment with the code examples
* or using [jupyter.org's notebook viewer](http://nbviewer.jupyter.org/github/ageron/handson-ml/blob/master/index.ipynb)
* note: [github.com's notebook viewer](https://github.com/ageron/handson-ml/blob/master/index.ipynb) also works but it is slower and the math formulas are not displayed correctly
@ -17,7 +19,7 @@ Simply open the [Jupyter](http://jupyter.org/) notebooks you are interested in:
# Installation
No installation is required, just click the *launch binder* button above, and you're good to go! But if you insist, here's how to install these notebooks on your system.
No installation is required, just click the *launch binder* button above, this creates a new VM with everything you need already preinstalled, so you'll be good to go in a just a few seconds! But if you insist, here's how to install these notebooks on your own system.
Obviously, you will need [git](https://git-scm.com/) and [python](https://www.python.org/downloads/) (python 3 is recommended, but python 2 should work as well).
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Then install the required python packages using pip:
$ pip install -r requirements.txt
$ pip install --upgrade -r requirements.txt
If you want to install the Jupyter extensions, run the following command: