What is Unsupervised Learning?

Unsupervised Learning is a machine learning approach where models are trained on data without labeled answers or predefined categories, tasked with finding patterns and structure on their own. The algorithm discovers hidden relationships, groupings, or features in the data, such as clustering similar customers together or reducing complex data to its most important dimensions. This method is valuable for exploring datasets where labeling is impractical or when the goal is to uncover insights that humans might not anticipate.