Creating a Website for Election Predictions
dc.contributor.author | Tran, Pierre | en |
dc.contributor.author | Pham, Danny | en |
dc.contributor.author | Hong, Eunice | en |
dc.contributor.author | Chung, Danny | en |
dc.contributor.author | Tran, Bryan | en |
dc.date.accessioned | 2024-09-03T18:25:20Z | en |
dc.date.available | 2024-09-03T18:25:20Z | en |
dc.date.issued | 2024-05-01 | en |
dc.description.abstract | This project, Creating a Website for Election Predictions, aims to present 2024 presiden- tial election predictions at the county level using demographic variables. By leveraging machine learning techniques on historical survey data, our website offers an interactive map and data visualization tools for public access. This non-academic approach seeks to provide a more accurate and representative analysis of election predictions, diverging from traditional poll-based methods. Additionally, it serves as a user-friendly platform for policymakers and the public to gain insightful, data-driven perspectives on election outcomes. | en |
dc.identifier.uri | https://hdl.handle.net/10919/121059 | en |
dc.language.iso | en_US | en |
dc.rights | Attribution 4.0 International | en |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
dc.subject | Election Prediction | en |
dc.subject | Website | en |
dc.title | Creating a Website for Election Predictions | en |
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