Recommender Systems in Depth: An introduction to Recommender Systems using Python and Crab

README.rst

.. -*- mode: rst -*-

   Recsys lectures as IPython notebooks
   ===================================

   Those are lectures and demonstrations of Recsys  using several libraries such as ``crab``,  ``pandas``, ``scikit-learn``,
   ``mrjob`` and ``ipython``. 


   The target audience is experienced Python developers familiar with scientific computing.



   Source code of the tutorial and exercises
   -----------------------------------------

   To open these notebooks in IPython, download the files to a directory on your computer and from that directory run:

       $ ipython notebook

       This will open a new page in your browser with a list of the available notebooks.


       Online read-only versions
       =========================

       Use the following links:

       * [0-Introduction-to-Non-Personalized-Recommenders](http://nbviewer.ipython.org/urls/raw.github.com/marcelcaraciolo/recsys-tutorial/master/tutorial/0-Introduction-to-Non-Personalized-Recommenders.ipynb)


       License
       =======

       This tutorial is distributed under the Creative Commons Attribution
       3.0 license. The Python example code and solutions to exercises are
       distributed under the license Simplified BSD.