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Modified on: Feb 12, 2018
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Jake VanderPlas

This repository contains notebooks and other files associated with my Scikit-learn tutorial.

This tutorial requires the following packages:

The easiest way to get these is to use the conda environment manager. I suggest downloading and installing miniconda.

Once this is installed, the following command will install all required packages in your Python environment:

Alternatively, you can download and install the (very large) Anaconda software distribution, found at https://store.continuum.io/.

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:

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.

You can view the tutorial materials using the excellent nbviewer service.

Note, however, that you cannot modify or run the contents within nbviewer. To modify them, first download the tutorial repository, change to the notebooks directory, and run . You should see the list in the ipython notebook launch page in your web browser. For more information on the IPython notebook, see http://ipython.org/notebook.html

Note also 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.

Modified on: Dec 28, 2017
Modified on: Aug 8, 2018
Multi-Module course for learning Python in the context of Data Science (Level 100/200)
Modified on: Aug 2, 2018
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