I was tasked with constructing a ML model to predict the outcome of small business loans with the goal to reduce the amount of risky loans that get approved. I chose to train a Logistic Regression model due to it being easily to interpret. The model was able to predict 90% accuracy with the testing data.
R interface for various datasets in US disaster aid funding. Includes cleaned datasets from NOAA, FEMA, HUD, and SBA.
Shiny application using data from disasteraidr package. Includes map visualizations and clustering.
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