https://github.com/jakevdp/sklearn_pycon2015

Materials for my Pycon 2015 scikit-learn tutorial.
https://github.com/jakevdp/sklearn_pycon2015

Last synced: 6 days ago
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Materials for my Pycon 2015 scikit-learn tutorial.

• Host: GitHub
• URL: https://github.com/jakevdp/sklearn_pycon2015
• Owner: jakevdp
• License: bsd-3-clause
• Created: 2015-04-06T12:56:16.000Z (almost 10 years ago)
• Default Branch: master
• Last Pushed: 2020-10-02T16:45:38.000Z (over 4 years ago)
• Last Synced: 2024-12-29T20:12:36.707Z (13 days ago)
• Language: Jupyter Notebook
• Size: 5.83 MB
• Stars: 896
• Watchers: 71
• Forks: 578
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• awesome - sklearn_pycon2015 - Materials for my Pycon 2015 scikit-learn tutorial. (Jupyter Notebook)

README

        
# PyCon 2015 Scikit-learn Tutorial

**Note: for updated tutorial content, see http://github.com/jakevdp/sklearn_tutorial**

*Instructor: Jake VanderPlas*

- email: 

- twitter: [@jakevdp](https://twitter.com/jakevdp)

- github: [jakevdp](http://github.com/jakevdp)

This repository will contain files and other info associated with my PyCon

2015 scikit-learn tutorial.

# Video

The tutorial presentation was video-taped; the video is available [here](https://www.youtube.com/watch?v=L7R4HUQ-eQ0).

## Installation Notes

This tutorial requires the following packages:

- Python version 2.6-2.7 or 3.3-3.4

- `numpy` version 1.5 or later: http://www.numpy.org/

- `scipy` version 0.10 or later: http://www.scipy.org/

- `matplotlib` version 1.3 or later: http://matplotlib.org/

- `scikit-learn` version 0.14 or later: http://scikit-learn.org

- `ipython` version 2.0 or later, with notebook support: http://ipython.org

- `seaborn` version 0.5 or later

The easiest way to get these is to use the [conda](https://store.continuum.io/) environment manager.

I suggest downloading and installing [miniconda](http://conda.pydata.org/miniconda.html).

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

```

$ conda install numpy scipy matplotlib scikit-learn ipython-notebook seaborn

```

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

## 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_pycon2015.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.

## Notebook Listing

You can [view the tutorial materials](http://nbviewer.ipython.org/github/jakevdp/sklearn_pycon2015/blob/master/notebooks/Index.ipynb) 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 ``ipython notebook``.

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.