arrudafranco/Homework-7

Basic machine learning methods. One is a random forest model used to choose among categorical variables from the GSS to predict attitudes towards racist college professors, the other is a backwards selection algorithm to choose variables to predict student debt. Produced for the course "Computation for the Social Sciences", offered during the Fall of 2020 at the University of Chicago.