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project for creating a predictor that checks if the movie is going to succeed or not.

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Movie Success Predictor

Project for creating a predictor that checks if the movie is going to succeed or not.

The data is from kaggle.

Challenges:

  • unbalanced data.
  • very few samples.
  • the success parameter is vauge, not showing which parameters affects it.
  • very few features with so little information.

Steps to conquer them:

  • cleaning and keeping only the informative features.
  • scrapping the web for more info about the movies.
  • using feature engineering to easily identify the patterns.
  • basic modeling of the data

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project for creating a predictor that checks if the movie is going to succeed or not.

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