Developed a robust diabetes prediction system with rigorous preprocessing, feature engineering, and optimized ML models. Implemented efficient training and evaluation workflows to ensure high accuracy, reliability, and clear interpretability—demonstrating strong applied machine-learning expertise. The algorithm used are:

I. Logistic Regression II. Decision Tree III. KNN IV. Gradient Boosting V. Random Forest Classifier VI. XGBoost Classifier