Project web site http://scikit-learn.org/stable/ for downloads, documentation, and tutorial.

There have been other tutorials making the rounds of various PyCon, SciPy, and PyData events over the last few years. They seem to be maturing. These were presented at SciPy 2013 by Olivier Grisel, Jake Vanderplas, and Gaël Varoquaux I like these for the coherence as a combined presentation. These people have done individual presentation at conferences too. This is a lot of video to watch split in to five sections. On YouTube:

• Intro to scikit-learn (I), SciPy2013 Tutorial, Part 1 of 3 (51:17)
• Intro to scikit-learn (I), SciPy2013 Tutorial, Part 2 of 3 (1:11:26)
• Intro to scikit-learn (I), SciPy2013 Tutorial, Part 3 of 3 (1:37:35)
• Intro to scikit-learn (II), SciPy2013 Tutorial, Part 1 of 2 (1:56:53)
• Intro to scikit-learn (II), SciPy2013 Tutorial, Part 2 of 2 (1:45:02)

Material for these including iPython notebooks are at Jake’s github page.

Also see Ben Lorica’s Six reasons why I recommend scikit-learn post on the O’Reilly site.

Lots of other conference videos of interest are at Vimeo’s PyData Portfolios.