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Abstract
This lab activity is meant to give an overview of a materials science machine learning workflow. It covers sections starting from initial data cleaning and ends with analyzing various predictions the model could make.
Each section includes a few exercises which highlights key points from each step.
The notebook can be ran without edits to the code, but there a points throughout where edits can be made to investigate different aspects of the model that could be changed.
Attached as supplementary info is a set of slides and associated material for use as a one week module for introducing students to machine learning in materials science.
For a quick video walkthrough of the lab material please see the youtube playlist here: https://youtu.be/nNQToVpz3_o
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