Performed EDA by analyzing factors affecting insurance charges. Performed Feature Engineering by developing cost features. Compared Linear, Polynomial, Ridge, Gradient Boost, XGBoost, and CatBoost regression models to predict clients’ insurance charges. Tuned the hyperparameters of the Gradient Boost model to obtain 85.44% accuracy.