Hyperparameter Tuning

The process of finding the perfect settings for your machine learning model to perform its best. Think of it like tuning a guitar - you adjust various knobs and settings (hyperparameters) until the model sounds just right. These settings aren't learned by the model itself, but control how the learning happens, like learning rate, number of layers, or how many trees in a random forest.