This is the second project during the data science T5 bootcamp. The goal of this project is to create a machine learning model that will predict the US movies gross taking into consideration many features. The features include IMDb rating, certification of movie, number of votes, release year, movie duration, and metascore. Exploring data scraped from the IMDb websites to see which features affect the prediction the most.
This project is done by: