IMDB Movies Data Analysis with Supervised Learning

Spring 2020

Team members:

• Marie Hasegawa

The purpose of the project is to answer two questions:

• How does Ratings, Directors, Actors, Genres, Metascores, Runtimes, andRevenue affect the success of a movie and create bias reviews?
• Does Ratings correlate with Metascores, or do they conflict with each other?

This project will be using the IMDB_movies.csv dataset, which is available in the link, IMDB_movies.csv and in Section 2: Data Analysis.