Instructor: Hamel Husain

• email: [email protected]
• LinkedIn

Original Author: Peter Prettenhofer

• email: [email protected]
• twitter: @pprett
• github: pprett

This respository contains files associated with Peter's Ukraine 2014 scikit-learn tutorial that is a slightly modified version of Jake VanderPlas's PyCon 2014 tutorial: https://github.com/jakevdp/sklearn_pycon2014 .

This tutorial will require recent installations of numpy, scipy, matplotlib, scikit-learn, and ipython with ipython notebook. The last one is important: you should be able to type

jupyter notebook

in your terminal window and see the notebook panel load in your web browser. We are using Python 2 for logistical purposes. 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, which can be downloaded and installed for free.

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 [email protected]:hamelsmu/python_odsc_2016.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.

To modify the notebooks, first download the tutorial repository, change to the notebooks directory, and type jupyter notebook. You should see the list in the jupyter notebook launch page in your web browser.

Note that some of the code in these notebooks will not work outside the directory structure of this tutorial, so it is important to clone the full repository if possible.

Recommended Reading: Intro To Machine Learning With Python