Machine Learning for Public Policy

The objective of this course is to train students to be insightful users of modern machine learning methods. The class covers resampling and regularization methods for regression and classification, as well as common models including decision trees, support vector machines, and neural networks. The class uses Python, and is designed for students who have completed the stats core requirements and the first data and programming class, but do not have previous experience with machine learning.