handson-ml/README.md

Machine Learning Notebooks
==========================

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This project aims at teaching you the fundamentals of Machine Learning in
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: [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
* 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:

    $ cd {your development directory}
    $ git clone https://github.com/ageron/handson-ml.git
    $ cd handson-ml

If you want an isolated environment, you can use [virtualenv](https://virtualenv.readthedocs.org/en/latest/):

    $ virtualenv env
    $ source ./env/bin/activate

There are different packages for TensorFlow, depending on your platform. Please edit `requirements.txt` using your favorite editor, and make sure only the right one for your platform is uncommented. Default is Python 3.5, Ubuntu/Linux 64-bits, CPU-only.

Then install the required python packages using pip:

    $ pip install --upgrade -r requirements.txt

If you want to install the Jupyter extensions, run the following command:

    $ jupyter contrib nbextension install --user

Then you can activate an extension, such as the Table of Contents (2) extension:

    $ jupyter nbextension enable toc2/main

Finally, launch Jupyter:

    $ jupyter notebook

This should start the Jupyter server locally, and open your browser. If your browser does not open automatically, visit [localhost:8888](http://localhost:8888/tree). Click on `index.ipynb` to get started. You can visit [http://localhost:8888/nbextensions](http://localhost:8888/nbextensions) to activate and configure Jupyter extensions.

That's it! Have fun learning ML.