PROJECT COMPLETED: June 2022
Tools Used:Python: NumPy, pandas, seaborn, scikit-learnGoogle Big Query - used to extract and aggregate census dataJupyter Notebooks - used to publish the project’s technical documentationAdobe InDesign - used to create the project’s slide presentation
Project By:
David White GitHub Profile: @davidwhitemsm
Email: [email protected]
Date: June 2022
Accompanying Presentation Slides: https://tinyurl.com/david-white-ga-project-slides
About this Project
I used data from the US Census Bureau and the Georgia Secretary of State’s office to build a machine learning model that predicts voter turnout in midterm elections. My goal was to develop a method of projecting turnout that is more predictive than simply averaging the turnout totals of the last three similar elections.