Machine Learning
This project extensively utilized Python and various libraries (Pandas, Sklearn, Matplotlib) in order to predict how Americans will vote.
A large dataset was obtained from the Cooperative Congressional Election Study. We cleansed the data and only retained the features that were relevant to our analysis.
We created a neural network and final model which predicted, with 66.67% accuracy, how a voter would cast their ballot.
Our report is below. The code is on GitHub, with our methodology clearly presented.
Full Project Report: