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Addressing gender bias in Hollywood with webscraping and machine learning

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Women, Dialogue and the Box Office

Built a regression model to explore the impact of gender bias in the movie industry on box office revenue. Analysis and modeling done with pandas, statsmodel and scikit-learn. Visualizations created using matplotlib and seaborn. Data scraped from Box Office Mojo and bechdeltest.com using Beautiful Soup, queried from the OMDB API and obtained from Polygraph's Film Dialogue Dataset.

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