/gendersciatts-py

These notebooks use pandas, matplotlib, seaborn, scipy, statsmodels, and scikit-learn to explore, conduct inferential descriptives, create visualizations, and build predictive models using the publicly-available Project Implicit data from the Gender-Science Implicit Association Test.

Primary LanguageJupyter Notebook

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