Intro to Statistics and Machine Learning Day 1 - More prediction methods Lecture. Part 1 is Ridge/LASSO and Part 2 is Regression Trees/Forest with usage example (Rmd). Homework and solutions part 1 and part 2 (Rmd). Day 2 - Causality and Experiments Lecture. Homework and solutions (Rmd) Day 3 - Doing good science Lecture Homework and project template. Day 4 - Inferring Causality with Observational Settings Lecture Homework about Card & Kruger paper, data, and data description. Solution. Day 5 - Bad Controls and Regression Discontinuity Lecture Homework . Data