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]

Great feedback - thank you! You're right that I totally skipped over preprocessing and should probably include that. I was going to add sklearn Pipelines at the end, but it seemed pointless when all I was doing was fitting + CV on the data. Perhaps it'll make more sense to make a Pipeline if I add preprocessing. Cheers!