Supervised Learning is a machine learning approach where the model is trained using labeled data. In supervised learning, the training dataset consists of input data paired with corresponding output labels. The model learns the mapping between inputs and outputs by finding patterns and relationships in the labeled data. It can then make predictions or classify new, unseen data based on the learned patterns.