Project aims to build a movie ranking predictor using multivariate regression model on combined IMDB and Rotten Tomatoes dataset.
The data set is comprised of 651 randomly sampled movies produced and released before 2016. Each row (651 rows in total) corresponds to some specific movie, whereas 32 columns hold information about various features of movies such as title, genre, runtime etc.
To run the code you need 1) RStudio 2) ggplot2, dplyr, statsr, grid, gridExtra libraries.