Election Forecasting Model

With an impending presidential election in the midst of a worldwide pandemic, machine learning enables us to predict the outcome of the Election of 2020.

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2020 Election Model

By Rohan Vasavada, Matthew Jalnos, Niharika Chintalapati, Amrith Ravikumar

This project focuses on machine learning, data mining, and data science. We collected data from a variety of public sources and used it to construct a multiple linear regression model to predict presidential elections.

We have gained valuable experience working with Python, specifically the Pandas library. We also expanded our statistical programming skills, and we explored data analytics.

While we had a limited amount of time to work on this project, we are looking forward to collaborating to create more machine learning projects in the future.

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