You can find the contest details here
- Predicted recidivism using person and place-based variables with the goal of improving outcomes for those serving a community supervision sentence.
- Utilised Xgboost, Adaboost, LightGBM, CatBoost, Autoencoder, and Logistic Regression algorithms using Python libraries.
- Prizewinner of Machine Learning Contest hosted by National Institute of Justice ($19,500).