This is my abridged, to-the-point, implementation of the official scikit-learn tutorials. If you are familiar with both Python and machine learning, this may be a quicker way to get through the material. There are a few minor changes to the original material (I believe), but it follows the original quite faithfully.
As such, all credit goes to the creator(s) of the original material. I make no claim of ownership or innovation; my role was simply peeling away what I felt to be unnecessary information for those beginners to sckit-learn who are not, otherwise, beginners to machine learning.
Notebooks are numbered, and follow the tutorials in order.
