Supervised learning is a type of machine learning algorithm that uses a known dataset (labeled data) to predict outcomes. It is based on the idea of using input data to predict a certain output. For example, a supervised learning algorithm could be used to predict whether a customer will buy a product based on their past purchasing behavior.
Unsupervised learning is a type of machine learning algorithm that does not require labeled data. Instead, it uses an unlabeled dataset to discover patterns and insights. For example, an unsupervised learning algorithm could be used to cluster customers based on their buying behavior.