What are Classification and Regression in ML?

ML is extracting data from knowledge. Machine learning is a study of algorithms that uses a provides computers the ability to learn from the data and predict outcomes with accuracy, without being explicitly programmed. Machine learning is sub-branched into three categories- supervised learning, unsupervised learning, and reinforcement learning. As the name "supervised learning" suggests, here learning is based through example. We have a known set of inputs (called features, x) and outputs (called labels, y).