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Aurélien Geron
2016-09-27 14:08:23 +02:00
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Machine Learning Notebooks 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 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: 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 * 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) * 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 * 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
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# Installation # 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). 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: 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: If you want to install the Jupyter extensions, run the following command: