Hyperlocal Air Quality Prediction using Machine Learning in East Bay Area, CA
In this project, I developed machine learning models to predict air quality on a city-block basis in Oakland and San Leandro, CA, without having to rely on complex physical modeling. I used a wide variety of publicly available datasets such as previously measured pollutant concentrations, local meteorological data, emissions from local industrial sources, and traffic information.
Check out my github repo and my blog post on this work!