This is a bootcamp project that analyzes data on the movie industry, to glean insights and make recommendations to make budding film industry as profitable as possible.
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Updated
Jun 27, 2021 - Jupyter Notebook
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filmindustry
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This project analyzes 98 years of Academy Awards (Oscars) data to uncover trends, biases, and patterns in the film industry. By leveraging Python, Pandas, and Scikit-learn, it provides insights into: Historical Trends: How award distributions have evolved over time. Category Analysis: Which categories (e.g., Best Picture, Best Actor) dominate the
python eda pandas kaggle datascience randomforest classification machinelearning datavisualization dataanalysis datacleaning oscars jupyternotebook exploratorydataanalysis scikitlearn filmindustry
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Updated
May 10, 2026 - Jupyter Notebook
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