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Decision Trees: Outputs
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Classroom Contents
Introduction to a Basic Machine Learning Workflow for Predicting Materials Properties
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- 1 A Basic Workflow for Predicting Materials Properties
- 2 Summary
- 3 An Application: Predict a Materials Property
- 4 A Basic Materials Design Workflow
- 5 Machine Learning for Pattern Matching
- 6 Key Distinction in ML
- 7 Key Distinction in ML
- 8 Model Types
- 9 Decision Trees: Structure
- 10 Decision Trees: Inputs
- 11 Decision Trees: Outputs
- 12 Summary
- 13 Machine Learning Lab Module Demo
- 14 1. Data Cleaning and Inspection
- 15 2. Feature Generation
- 16 3. Feature Engineering
- 17 4. Setup for Model Evaluation
- 18 5. Fitting and Evaluating a Default Model
- 19 6. Improving the Model by Optimizing Hyperparameters
- 20 7. Making Predictions
- 21 Questions
