Training Data

In machine learning, supervised and unsupervised learning differ in how they’re trained and the data they use. Supervised learning uses labeled data to make predictions or classifications. Unsupervised learning finds hidden patterns in unlabeled data without guidance. Supervised learning needs labeled data to learn from. It knows the input and output variables. Unsupervised learning finds…