arthur/handson-ml3
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Sadly had to remove binder support, because it is too unreliable and has been down for a month.

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Aurélien Geron
2017-03-04 11:15:52 +01:00
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README.md
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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) [![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. It contains the example code and solutions to the exercises in my O'Reilly book [Hands-on Machine Learning with Scikit-Learn and TensorFlow](http://shop.oreilly.com/product/0636920052289.do):
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Simply open the [Jupyter](http://jupyter.org/) notebooks you are interested in:
* using Binder (recommended): [launch binder](http://mybinder.org/repo/ageron/handson-ml)
* no installation needed, you can immediately experiment with the code examples
* or using [jupyter.org's notebook viewer](http://nbviewer.jupyter.org/github/ageron/handson-ml/blob/master/index.ipynb)
* 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
* or by cloning this repository and running Jupyter locally
* if you prefer this option, follow the installation instructions below.
# Installation
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).
First, clone this repository: