Supervised learning is a family of machine learning methods where models learn a mapping from inputs to known outputs using labeled examples. You train a model on a dataset of input features paired with target labels so it can predict labels for new, unseen inputs. The supervision (labels) guides the model to discover patterns, relationships, or...