H2O-Higgs-Boson
PublicThis project leverages H2O.ai AutoML to classify Higgs Boson signal and background events from particle collision data. Using advanced ensemble learning, feature engineering, and hyperparameter tuning, the model achieves 98-100% accuracy. The project focuses on optimizing classification performance while ensuring scalability and interpretability.