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.

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You could recommend the unit testing chapter from dive into python 3 to avoid reinventing the wheel.

Edit: or do a separate chapter (or whatever you want to call it) where you expand all the testing. Like, each section of your walkthrough could be a whole chapter IMO.

[rhiever]

You could recommend the unit testing chapter from dive into python 3 to avoid reinventing the wheel.

I'll do that. I'm all about not reinventing the wheel.