/MLforPublicPolicy

Class resources for CAPP 30254 (Machine Learning for Public Policy)

Primary LanguageJupyter Notebook

Machine Learning for Public Policy

Instructor: Rayid Ghani

Instructor office hours: Tuesday and Thursdays 2-3pm (or by appointment)

Lectures: Stuart 101, Tuesday and Thursday 10:30–11:50 am

Teaching assistants: Horace Pan, Samira Sheikhi

TA office hours: TBD

Textbooks:

There are two recommended textbooks:

  1. Data Science for Business. Foster Provost and Tom Fawcett
  2. Machine Learning: The Art and Science of Algorithms that Make Sense of Data. Peter Flach

This is the repository for the Machine Learning for Public Policy class at the University of Chicago. It contains:

You can also take a look at the Syllabus as well as the weekly schedule.

Schedule

Some useful resources for background and labs