Why 88% Accuracy Wasn’t Good Enough: Building an End-to-End Machine Learning Pipeline for 30-Day Diabetes Readmission Prediction

From class imbalance and model tuning to PySpark distributed learning, K-Means subgroup discovery, and global-vs-local classification.