Tuning machine learning models for peak performance requires more than just good data — it demands smart hyperparameter selection. This post dives into the difference between parameters and hyperparameters, and compares two powerful tuning methods: GridSearchCV and RandomizedSearchCV. Learn how they work, when to use each, and how they can improve your model’s accuracy efficiently.