Hyperparameter Tuning Explained Visually | Grid Search, Random Search & Bayesian Optimisation

Hyperparameter tuning explained visually in 3 minutes — what hyperparameters actually are, why the same model goes from 55% to 91% accuracy with the right settings, and the three main strategies for finding them: Grid Search, Random Search, and Bayesian Optimisation. If you've ever tuned against your test set, picked hyperparameters by gut feel, or wondered why GridSearchCV is taking forever — this video walks through the full workflow, including the one