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Metis Project #2 - Regression analysis of movie data

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K-Du/IMDb-Regression

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IMDb-Regression

Actual by predicted plot

This project aims to predict the average user rating for movies on IMDb.com. Feature engineering was done using some domain knowledge of which actors and directors are (in)famously good or bad. An XGBoost model was used with linear regression as a comparison.

The presentation can be found here.
A blog post for this project can be found here.

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Metis Project #2 - Regression analysis of movie data

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