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An analysis that finds what features determine what movies Neflix hosts and what features contribute to a higher IMDb rating

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ericyeonpark/Lambda_Unit_2_Project_Movies

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Lambda_Unit_2_Project_Movies

Summary

A Lambda School Portfolio project for Unit 2

Using a dataset found on Kaggle, I had two main objectives.

  1. Find the most important features that determine what movies Neflix features
  2. Find the most important features that determines a movies IMDb rating

My findings for the data can be found at: https://ericyeonpark.github.io/2021-03-28-unit2-portfolio/

Files

  • DS_Unit2_Port_Movies_TreeModel.ipynb: jupyter file containing a classification model that predicts if a movie is hosted on Netflix
  • DS_Unit2_Port_Movies_LinearModel.ipynb: jupyter file containing our linear model that predicts a movies IMDb rating
  • MoviesOnStreamingPlatforms_updated.csv: csv file from Kaggle which our models are based on
  • Pipfile, Pipfile.lock: Pipfiles for libraries import

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An analysis that finds what features determine what movies Neflix hosts and what features contribute to a higher IMDb rating

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