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)
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