Dive into Machine Learning with ipython notebook

This is a by-beginner, for-beginner's guide. Can you help me make it more legitimate, if you are an expert?

I learned Python by hacking first, and getting serious later. I've scratched the surface with Machine Learning in this same way and now I'm encouraged to get serious with it. This guide is meant to help other developers do the same :) I hope it'll have the same effect for someone else.

I'm sure I've gotten things wrong. I'm sure I'm missing key points. All I can hope for now is that I've captured some "beginner's mind" in approaching the topic. So maybe we can preserve that form, while improving the content.

So please, if you are a beginner, student, or already an expert ... I hope you'll open issues and submit pull requests! Thank you!

This is my first submission to HackerNews, please go easy on me :) Cheers.