Predicting rent prices using Craigslist data

This was a project with the Urban Analytics Lab to explore and predict rental prices in the Bay Area, using Craigslist rental listings.

We built predictive models using linear regression, random forest, gradient boosting, and geographically weighted regression algorithms. Details here.

I also made a web app. It should be up on the UAL website soon. In the meantime, it’s in the demo video here. And here’s the github repo.