Learn to create a model that predicts the re-admission of diabetic patients. Load, clean, and analyze patient data. Train the predictive model, score and deploy it in a deployment space. This project contains 3 notebooks, 8 data sets, 1 WML model and 1 R Shiny dashboard. The notebooks run in the latest Python environment.

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