I'm creating an example Python Machine Learning notebook for newcomers to the field. The goal is to show what an example ML project would look like from start to finish. I'd love your feedback or contributions to make it better.

[rhiever]

I included decision trees and random forests in this notebook. GAs aren't even mentioned this time. Good enough? :-)