Supervised Learning

Supervised learning is a type of machine learning where an algorithm learns from a dataset that has been labeled, meaning each input example is paired with the correct output. The model learns to map inputs to outputs by identifying patterns in the labeled data. This allows it to make predictions or decisions on new, unseen data.