DSML Speaker Series: A Machine Learning Approach to Political Segregation & COVID Vaccination Rates

Data Science & Machine Learning Instructor Jared Lewis and Data Science & Machine Learning Fellow Michael Gaziani walk us through how they implemented Double Lasso with fixed effects, Franks’ sensitivity analysis, and Oster’s sensitivity analysis in Python to explore the effects of Political Segregation on COVID vaccination rates at the county level.
This video is a recording of a live event. To follow along live and participate in upcoming workshops and events, RSVP at www.dsmlresearch.org/event.
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