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This tutorial is meant to accompany a talk given by Matteo Niccoli and myself (Thomas Speidel) at the 2018 geoconvention in Calgary, Canada titled Data science tools for petroleum exploration and production. Many of the ideas were inspired by Nicooli's past work. See for instance, Machine learning in geoscience with scikit-learn - notebook 1.
This tutorial was created using the open-source language R. However, most of the methods illustrated can be done in Python. See Niccoli's implementation of some of these methods in the Python environment. See for instance the implementation of distance correlationin Python.