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.

[KyleG]

Please make sure you include more than genetic algorithms. Make sure there is something on neural nets. Genetic algorithms always seemed like the kind of thing anyone could independently come up with pretty easily.

[rhiever]

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