Machine Learning Lab Module

By BENJAMIN AFFLERBACH¹; Rundong Jiang²; Josh Tappan²; DANE MORGAN¹

1. University of Wisconsin - Madison 2. Citrine Informatics

A lab activity for introduction to machine learning in materials science

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Version 1.7 - published on 13 Sep 2022

doi:10.21981/CPNK-XE48 cite this

Open source: license | download

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Supporting Docs

• (PPTX, 338.94 KB)Module_1_-_Machine_Learning_Basics_in_Materials_Science.pptx
• (PPTX, 1.29 MB)Module_2_-_Data_Cleaning_and_Featurizing.pptx
• (PPTX, 227.00 KB)Module_3_-_Model_Assessment_Optimization_Predictions.pptx
• (PPTX, 119.00 KB)Module_4_-_Machine_Learning_Tools_for_Materials_Science.pptx
• (PPTX, 9.06 MB)Module_5_-_Machine_Learning_Tools_for_Materials_Science.pptx
• (DOCX, 10.43 KB)Teachers_Guide.docx
• (DOCX, 6.66 KB)Reading_List.docx
• (DOCX, 7.21 KB)Quiz_Questions.docx
• (DOCX, 6.47 KB)Quiz_Questions_-_Answers.docx
• Introduction to a Basic Machine Learning Workflow for Predicting Materials Properties
• An Introduction to Machine Learning for Materials Science: A Basic Workflow for Predicting Materials Properties