This is the final project for my Computation for Economics class, an intro to Python class. In this small project, I addressed the question: What key factors within Rotten Tomatoes contribute to the classification of a movie as rotten or fresh? I accomplished this by employing Maximum Likelihood Estimation and utilizing a Rotten Tomatoes database
Visualize the project here: https://ntyblco.github.io/Maximum-Likelihood-Estimation/