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This document provides an overview of supervised learning in machine learning, detailing linear regression models, classification and regression types, and their applications. It also discusses unsupervised learning, including clustering and association, along with their advantages and disadvantages. Additionally, reinforcement learning is briefly covered, highlighting its applications and challenges.

Author

thanujasasi145

Language

EN