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  1. HSC4933_Fall_2025 HSC4933_Fall_2025Public

    A collection of all work completed while enrolled in the HSC4933 "Python for Health Analytics" class at the University of South Florida for the Fall semester of 2025

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  3. HjBayesianModeler HjBayesianModelerPublic

    A Multi-model Count-Variable Regression and Hierarchical Bayesian Modeling suite developed by Harrison Jachec for research use. Not for clinical decisions. (c) Harrison Jachec 2026.

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    Given a desired extent, resolution, and desired analyses, downloads Sentinel 2 imagery from planetary-computer, downloads DEM tiles from Copernicus, and then analyzes them through NDVI, NDWI, MNDVI…

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    An ML process for locating classes of features using RF and XGBoost across an extent using common geospatial analysis indices as inputs.

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  6. HSC-4933 HSC-4933Public

    A collection of assignments completed during the Fall 2026 semester in HSC 4933: Python for Health Analytics

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