This repository contains the code to generate predictions of critical violations at food establishments in Chicago. It also contains the results of an evaluation of the effectiveness of those predictions.

Algorithm to predict repeated positive results for West Nile Virus for mosquitoes captured in traps across Chicago.

the 2nd place solution for West Nile Virus Prediction challenge on Kaggle

DSaPP Lead Hazard Modeling

the 3rd place solution for West Nile Virus Prediction challenge on Kaggle

The classifier used in the http://foodborne.smartchicagoapps.org/ application.

Healthy Chicago's Flavored Tobacco Search Engine

Manages tweets about food poisoning in Chicago and presents Open311 form for reporting incidents.