aspiring through practice

Random Forests and PyData – A Tutorial

I wanted to extend a (belated) thanks to @datakyle for inviting me to speak at the inagural Python Data Science Meetup graciously hosted by and Prometheus Research in New Haven on September 26th. I was delighted to have the opportunity to quickly dive into the PyData / Pandas /iPython data science stack. There is nothing like challenging oneself to present on a topic that you want to understand more deeply – on a short deadline. I was hoping to do some”learning-by-teaching” so I gave a short presentation and iPython notebook demo of the Random Forests approach for supervised classification. Thanks to, I gained a deeper understanding of how the random forest algorithm works, a keen interest in PyData, Pandas, scikit-learn.

Please take a look at the presentation and iPython notebook and let me know what you think:

Slides (pdf):

iPython notebook demo:

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This entry was posted on December 6, 2013 by in data science, pydata.


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