hyperparameter-tuning

Hyperparameter search should be targeted, not theatrical. I usually combine a strong baseline, a compact search space, and a metric aligned with business cost. GridSearchCV is good for interpretable sweeps; randomized search is better when the space g

When the search space is wide, Optuna gives me better signal per compute dollar than brute-force sweeps. It is easy to define conditional search spaces, prune bad trials early, and track the best trial artifacts. I especially like it for gradient boos