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Intro to Statistics and Machine Learning

Day 1 - More prediction methods

Day 2 - Causality and Experiments

Day 3 - Doing good science

Day 4 - Inferring Causality with Observational Settings

Day 5 - Bad Controls and Regression Discontinuity