What is the main difference between supervised and unsupervised learning?

Unsupervised learning differs from supervised learning in how it handles data. Supervised learning requires data that has been labeled with the correct output, allowing the model to learn a mapping from input to output. Unsupervised learning, on the other hand, works with unlabeled data to discover hidden patterns, structures, or groupings within the data without any prior knowledge of the output.

The correct option is:

• c) Unsupervised learning works without output labels and finds patterns on its own.