Weekend practice project from 2021.
A K-Nearest Neighbors classifier trained on BMI, blood pressure, glucose, and insulin features to predict diabetes risk. Simple supervised-learning exercise — useful for practicing feature selection and model evaluation before production ML boundaries (where probabilistic outputs must stay out of legal proof paths).