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Causal Inference & Machine Learning Course
Labs
1. Intro to Partialling-out and Lasso Cross-validation
Lab 1 - Python Code
Lab 1 - R Code
Lab 1 - Julia Code
2. Multicollinearity, Precision Adjustment, and DAGs for Good and Bad controls
Lab 2 - Python Code
Lab 2 - R Code
Lab 2 - Julia Code
3. Neyman Orthogonality, Orthogonal Learning, and Double Lasso
Lab 3 - Python Code
Lab 3 - R Code
Lab 3 - Julia Code
4. Bootstraping and Causal Forest Analysis
Lab 4 - Python Code
Lab 4 - R Code
Lab 4 - Julia Code
5. Double Machine Learning
Lab 5 - Python Code
Lab 5 - R Code
Lab 5 - Julia Code
Reports
Report 1
Report 2
Report 3
Report 4
Report 5
Repository
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