Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Supervised Learning

The video tutorial introduces supervised learning, a paradigm where a model is trained using input data paired with known targets. It explains how the model learns to map inputs to targets, which can be class labels or real values in regression. The concept of targets is discussed, highlighting the difference between classification and regression. The tutorial emphasizes the role of supervision in guiding the learning process, enabling the model to make predictions after training.

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