Movie-Revenue-Prediction
The aim of this project is to build a supervised learning model that can efficiently and accurately predict the revenue of a movie given the year and month of the release, the genres, the cast and crew, expected ratings and expected popularity.
The project is based on Python using various libraries like keras, matplotlib, pandas, numpy, sklearn to name few.