For a Predictive Analytics test

For a Predictive Analytics test model, I built two predictive models for clinical outcomes: a logistic regression classifier diagnosing tumours as malignant/benign (89.5% accuracy, 0.97 AUC) on the Breast Cancer Wisconsin dataset, and a multiple linear regression model predicting diabetes disease progression (R² = 0.49) from BMI, blood pressure, and cholesterol markers. Covered the full pipeline: EDA, multicollinearity diagnostics, train/test splitting, feature scaling, model evaluation, and individual patient-level predictions with clinical interpretation