The objective of the project is to predict a movie's gross revenue based on historical pubilc information about the movie.
As a cinephile, I was deeply impressed by this project, especially, the way of acquiring the data using APIs and scraping data from website. Wonderful technique! Moreover, the data visualization is clear and self-explanatory.
A potentially interesting feature could be search frequency or number social media mentions of the movie, since that might be a better indicator of popularity than reviews. I'm not sure if using IMDB ratings and other success metrics to do so is as cutting-edge. For audience, they may prefer to predict box office success based on the cast list, certain actresses, and scriptwriter. FYI, there may be some other feasible standard to choose.
The objective of the project is to predict a movie's gross revenue based on historical pubilc information about the movie.
As a cinephile, I was deeply impressed by this project, especially, the way of acquiring the data using APIs and scraping data from website. Wonderful technique! Moreover, the data visualization is clear and self-explanatory.
A potentially interesting feature could be search frequency or number social media mentions of the movie, since that might be a better indicator of popularity than reviews. I'm not sure if using IMDB ratings and other success metrics to do so is as cutting-edge. For audience, they may prefer to predict box office success based on the cast list, certain actresses, and scriptwriter. FYI, there may be some other feasible standard to choose.