Model that uses 10 different algorithms to predict the revenue of a movie before it's release
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Updated
Dec 2, 2020 - Jupyter Notebook
Model that uses 10 different algorithms to predict the revenue of a movie before it's release
Movie Revenue Prediction System predicts the revenue of a movie with 14 parameters: name, rating, genre, year, released, score, votes, director, writer, star, country, budget, company and runtime using gradient boosting______________________________ Training Accuracy: 91.58%____________ Testing Accuracy: 82.42%.
A group project in Machine Learning predicting the revenues of movies using MLP and polynomial regression.
Analysing the relationship between movie revenue and movie production cost.
Movie Boxoffice revenue prediction with Linear Regression
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