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An experimental project to forecast overall worldwide box office revenue from metadata of over 7000 past films from The Movie Database by performing data wrangling, exploratory data analysis, feature engineering and feature importance, linear regression and evaluating model performance

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sanika-karwa/TMDBBoxOfficePrediction

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TMDBBoxOfficePrediction

Objective

Predicting overall worldwide box office revenue from metadata of over 7,000 past films from The Movie Database. Data points provided include cast, crew, plot keywords, budget, posters, release dates, languages, production companies, and countries.

Files included with this project

da.ipynb

kaggle.json

Important

We are loading the TMDB dataset in the jupyter notebook directly from the Kaggle repository using the Kaggle API.

Upload 'kaggle.json' when prompted in da.ipynb file.

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An experimental project to forecast overall worldwide box office revenue from metadata of over 7000 past films from The Movie Database by performing data wrangling, exploratory data analysis, feature engineering and feature importance, linear regression and evaluating model performance

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