Learn about Chicago's most polluting buildings, and what they can do to clean up their act!

Analyzes half a million Chicago car accidents to determine if the presence of red light cameras improves intersection safety. Evaluates how intersection characteristics and other factors affect the number and type of intersection crashes.

This study creates machine learning models to predict the seriousness of car crashes using 2019 and 2020 crash reports from the publicly accessable database maintained by the Chicago Police Department. A car crash is considered serious if the crash results in an injury or the car is towed due to the crash. Models use categorical features that de…

Analysing Chicago Crime Data

Python Client for Chicago Transit Authority

Provides web dashboard for 153 Chicago red light camera intersections, including violations, crashes, and other intersection statistics.

Investigation of vehicular emissions on Chicago's air quality through assessing traffic density, air quality trends and accessibility of EV stations

Bias detection project for the Chicago Face Database (CFD)

A Django web application allowing users to build a school quality rating policy (SQRP) model for the Chicago Public Schools (CPS)

We Can Have Nice Things

An analysis of red light and speed camera citations in Chicago.

A map showing all the pothole request throughout the city of Chicago

To better understand which areas in Chicago are experiencing the most change in building permits using data from the City of Chicago's Data Portal