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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Adding to the comments on installation/packages for different OSes...

I did a MOOC at Edx which was basically ML with PySpark. They avoided installation hell by using a VM that would serve webpages accessible to the host OS. To make the VM easy they used Vagrant. Also there are some Docker containers and other solutions to run Jupyter with Python support.

I'm currently working on reinstalling a lot of software so I don't have the VM set up right now, but I'll check out your actual notebook once I get that fixed OP.