Predicting Tobacco Sales to Youth in New York City

This repository contains the final project for NYU CUSP Machine Learning 2017.

Materials within this repository were used to predict whether a tobacco retailer within New York City would sell tobacco products to minors.

The following machine learning techniques were applied:

• Classification using Decision Trees and Random Forest
• Bayesian Networks
• Gaussian Processes
• Anomaly and Pattern Detection

All work is done with Python language and packages.

Authors:

Nurvirta Monarizqa, Tashay Green, Zhaohong Niu, Sharon Jiaqian Liu