All Machine Learning Algorithms explained!
Supervised learning is the most common branch of machine learning. At its core, it’s simple: you train on labeled data. That means every input already has a known output. The algorithm’s job is to learn the mapping between them. Once trained, it can predict outcomes for new, unseen inputs.
Within supervised learning, there are two main subtypes: regression and classification.
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