connor-james

CapitalBikeshareRouteDemand

Using a variety of machine learning methods, we predict the individual daily demand on routes within the Capital Bikeshare network. Featured models include deep neural net classifier, random forest regressor, ridge regression, & gradient tree boosted regression. Originally submitted on 6/7/2020 as a class project for UC Davis' STA 208.

STA-207