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Scipy 2013 Scikit-learn Tutorial

Instructors

This repository will contain files and other info associated with our Scipy 2013 scikit-learn tutorial.

Installation Notes

This tutorial will require recent installations of numpy, scipy, matplotlib, scikit-learn, psutil, pyrallel and ipython with ipython notebook.

The last one is important, you should be able to type:

ipython notebook

in your terminal window and see the notebook panel load in your web browser. Because Python 3 compatibility is still being ironed-out for these packages (we're getting close, I promise!) participants should plan to use Python 2.6 or 2.7 for this tutorial.

For users who do not yet have these packages installed, a relatively painless way to install all the requirements is to use a package such as Anaconda CE, which can be downloaded and installed for free.

Downloading the Tutorial Materials

I would highly recommend using git, not only for this tutorial, but for the general betterment of your life. Once git is installed, you can clone the material in this tutorial by using the git address shown above:

git clone git://github.com/jakevdp/sklearn_scipy2013.git

If you can't or don't want to install git, there is a link above to download the contents of this repository as a zip file. I may make minor changes to the repository in the days before the tutorial, however, so cloning the repository is a much better option.

Data Downloads

The data for this tutorial is not included in the repository. We will be using several data sets during the tutorial: most are built-in to scikit-learn, which includes code which automatically downloads and caches these data. Because the wireless network at conferences can often be spotty, it would be a good idea to download these data sets before arriving at the conference.

Notebook Listing

These notebooks in this repository can be statically viewed using the excellent nbviewer site. They will not be able to be modified within nbviewer. To modify them, first download the tutorial repository, change to the notebooks directory, and type ipython notebook. You should see the list in the ipython notebook launch page in your web browser.

Detailed Outline Tutorial 1 (intermediate track)

Detailed Outline Tutorial 2 (advanced track)