Reweighting & Resampling for Fairness

Use sample weights and resampling to nudge fairness. Learn inverse-propensity weighting, Kamiran-Calders reweighting, SMOTE / oversampling for fairness, undersampling majorities, the limits of resampling (it can't manufacture signal), and the disaggregated eval to verify the fix actually improved the worst-served slice.