Gradient Boosting Model Hyperparameter Tuning Coach
Data scientists training XGBoost, LightGBM, or CatBoost models on tabular data need structured guidance on which hyperparameters to prioritise, how to run efficient search strategies, and how to diagnose overfitting or underfitting from learning curves — without exhaustive grid search that wastes compute.