Predicting Recidivism
This project was the final capstone project for my MS Data Analytics degree.
The project aimed to predict the likelihood that a paroled individual would experience recidivism within a 3 year time period. The dataset was obtained from the National Institute of Justice, having been provided for use in their Recidivism Forecasting Challenge. There were a total of 25,835 observations with 54 columns.
The GitHub repository can be found here.
A copy of the final paper for this project is available here.