Machine Learning in Mineral Exploration: A Tutorial
Cevik, S. Ilkay
Ortiz, Julian M.
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This tutorial aims to demonstrate how to conduct some machine learning methods in geoscience to enhance mineral exploration studies. The document does not intent to present an exhaustive list of all the methods available currently, instead it aims to present some useful functions that exist in Python and R to conduct a workflow. The outputs of the procedures are presented hereby, and source codes are available in the notebooks of all the sections which are available on the GitHub page of the research group. They could be downloaded and repeated.