WWS586A-Machine-Learning-Policy-Analysis

Materials from my Princeton University course WWS586A: Machine Learning for Policy Analysis

Topics covered

• Policy analysis in the digital age

• Programming in R, R Notebooks & Github

• Data acquisition and cleaning: APIs & webscraping

• Introduction to statistical learning theory

• Linear regression

• Machine learning basics: training, testing and cross-validation