An eight-week project that identified companies potentially involved in the production of materials used in the nuclear fuel cycle. Our team worked with many new technologies: PySpark, clustered computing on Amazon Web Services EMR, Sagemaker, and S3, and Parquet, monitoring billing for AWS services.
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Appraiser's BFF
Web app using machine learning to predict housing prices from user input
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Nina - Supreme Court Prognosticator
Interactive web app built with Dash that models Supreme Court decisions based on constitutional issues for federal laws
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