Exciting Python Machine Learning Package (scikit-learn)

A while back, I blogged about using rpy2 to leverage the power of plotting and aplenty model selection of R in python. It's usable but still a bit cumbersome. Turns out there is even an easier way to do machine learning in python: use the scikit-learn.

Scikit-learn is another project born out of Google's summer of code. It's currently only 0.11, but has been around for 2+ years and supports many models in supervised and unsupervised learning. Its BSD license may be more attractive to people who is considering embedding a machine learning library in their own products. Overall it seems to be a very exciting new module to be added to python's machine learning toolkit. 

Their web site is full of useful info (docs, tutorials, and demo videos), so go check it out: scikit-learn.org

P.S. if you encounter problems installing scikit-learn on your mac, here is a very useful page on installing all the required packages: http://kral4u.blogspot.com/2012/07/installing-numpy-scipy-matplotlib.html. Also highly recommend upgrading easy_install to pip.