https://github.com/mike-perdide/scikit-learn-tutorial

Applied Machine Learning in Python with scikit-learn
https://github.com/mike-perdide/scikit-learn-tutorial

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Applied Machine Learning in Python with scikit-learn

• Host: GitHub
• URL: https://github.com/mike-perdide/scikit-learn-tutorial
• Owner: mike-perdide
• Created: 2011-04-01T12:54:28.000Z (over 13 years ago)
• Default Branch: master
• Last Pushed: 2011-04-01T12:59:36.000Z (over 13 years ago)
• Last Synced: 2024-05-03T06:28:25.017Z (6 months ago)
• Language: Python
• Homepage: http://scikit-learn.github.com/scikit-learn-tutorial/
• Size: 848 KB
• Stars: 47
• Watchers: 12
• Forks: 103
• Open Issues: 0
• Metadata Files:
  • Readme: README.rst

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README

        
.. -*- mode: rst -*-

About

=====

``scikit-learn`` is a python module for machine learning built on

top of numpy / scipy.

The purpose of the ``scikit-learn-tutorial`` subproject is to learn

how to apply machine learning to practical situations using the

algorithms implemented in the ``scikit-learn`` library.

The target audience is experienced Python developers familiar with

numpy and scipy.

Downloading the PDF

-------------------

Prebuilt versions of this tutorial are available from the `github download

page`_.

While following the exercices you might find helpful to use the official

`scikit-learn user guide (PDF)`_ as a more comprehensive reference::

If you need a numpy refresher please first have a look at the

`Scientific Python lecture notes (PDF)`_, esp. chapter 4.

.. _`github download page`: https://github.com/scikit-learn/scikit-learn-tutorial/archives/master

.. _`scikit-learn User Guide (PDF)`: http://downloads.sourceforge.net/project/scikit-learn/documentation/user_guide-0.7.pdf

.. _`Scientific Python lecture notes (PDF)`: http://scipy-lectures.github.com/_downloads/PythonScientific.pdf

Online HTML version

-------------------

The prebuilt HTML version is published as a github pages:

  http://scikit-learn.github.com/scikit-learn-tutorial

Source code of the tutorial and exercises

-----------------------------------------

The project is hosted on github at https://github.com/scikit-learn/scikit-learn-tutorial

Building the tutorial

=====================

You can build the HTML and PDF (requires pdflatex) versions of this

tutorial by installing sphinx (1.0.0+)::

  $ sudo pip install -U sphinx

Then for the html variant::

  $ cd tutorial

  $ make html

The results is available in the ``_build/html/`` subdolder. Point your browser

to the ``index.html`` file for table of content.

To build the PDF variant::

  $ make latex

  $ cd _build/latex

  $ pdflatex scikit_learn_tutorial.tex

You should get a file named ``scikit_learn_tutorial.pdf`` as output.

Mailing list

============

If you have questions about this tutorial you can ask them on the

``scikit-learn`` mailing list on sourceforge:

https://lists.sourceforge.net/lists/listinfo/scikit-learn-general

IRC channel

===========

Some developers tend to hang around the channel ``#scikit-learn``

at ``irc.freenode.net``, especially during the week preparing a new

release. If nobody is available to answer your questions there don't

hesitate to ask it on the mailing list to reach a wider audience.

License

=======

This tutorial is distributed under the Creative Commons Attribution

3.0 license. The python source code and exercices solutions are

distributed under the same license as the ``scikit-learn`` project

(Simplidied BSD).