Data Science for Spatial Systems

Setup
Week-by-Week
- Overview
- Part 1: Supervised Learning
- 1. Introduction to machine learning
- 2. Supervised Learning Metrics
- 3. Supervised Learning Workflow
- Part 2: Methods
- 4. Tree-based Methods
- 5. Neural Networks
- 6. Graph Neural Networks
- Part 3: Advanced Topics
- 7. Model Interpretation
- 8. Feature Selection
- 9. Imbalanced Data
- 10. Testing Machine Learning Systems
- Bibliography
Assessments
- Overview
Getting Help

Setting up

Author

Huanfa Chen

Published

March 25, 2026

Please follow CASA0013 Set-up page to set up the CASA Computing Environment.

CC BY-NC-SA 4.0 2025–, Huanfa Chen, Adam Dennett, Bea Taylor

Data Science for Spatial Systems

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