CROWE: Predicting elections winners on a state-by-state basis using neural networks/advanced programming techniques (Open)

Project focused on using data to predict elections on state by state basis

This project involves using programming te hniques to analyze data regarding election polls in different states. This involves a lot of data collection and inputting it into software to try and predict elections on a state by state basis.

Specific Information

Researcher

Professor Noah Williams

Skills

Excel and data based programming skills such as STATA, Python, etc.

Timeline

Weekly progress (Should last through spring semester)