That's great!

I've given you a bit more added publicity:
https://twitter.com/GaelVaroquaux/status/470596202665623552

G

On Sun, May 25, 2014 at 08:59:56AM -0700, Sujit Pal wrote:
> Hello sklearners,

> I apologize in advance if this is regarded as a shameless plug, but...

> I rewrote the R exercises for the statlearning course (from Stanford
> University, conducted by professors Trevor Hastie and Rob Tibshirani) into a
> set of 9 python notebooks. All the algorithms used in my code are from 
> sklearn.
> I thought that this may be a good resource for people starting with sklearn, 
> so
> letting folks here know...

> I have written a blog post about it:
> http://sujitpal.blogspot.com/2014/05/ipython-notebooks-for-statlearning.html

> If you want to skip the editorializing, the code is in github here:
> https://github.com/sujitpal/mlia-examples/tree/master/src/
> statlearning_notebooks

> and the data is here:
> https://github.com/sujitpal/mlia-examples/tree/master/data/
> statlearning_notebooks

> The README.md page on the code directory has links to render the notebooks on
> nbviewer.ipython.org.

> Would appreciate any suggestions for improvement as well.

> Thanks
> Sujit

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-- 
    Gael Varoquaux
    Researcher, INRIA Parietal
    Laboratoire de Neuro-Imagerie Assistee par Ordinateur
    NeuroSpin/CEA Saclay , Bat 145, 91191 Gif-sur-Yvette France
    Phone:  ++ 33-1-69-08-79-68
    http://gael-varoquaux.info            http://twitter.com/GaelVaroquaux

------------------------------------------------------------------------------
"Accelerate Dev Cycles with Automated Cross-Browser Testing - For FREE
Instantly run your Selenium tests across 300+ browser/OS combos.
Get unparalleled scalability from the best Selenium testing platform available
Simple to use. Nothing to install. Get started now for free."
http://p.sf.net/sfu/SauceLabs
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