The purpose of this video is to illustrate the machine learning process by going through an example. There is also a brief explanation of the kNN model and Box-Muller transformation, as well as plenty of metrics and functions from Sci-Kit Learn.

The steps of the machine learning process are:

1) Understand the problem
2) Get data
3) Explore, Clean, Transform, and Engineer Features
4) Encode Features
5) Select Features
6) Modelling
7) Evaluation
8) Repeat until satisfied

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