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What is Supervised Learning Algorithms Explained about?

Supervised Learning is a machine learning approach that uses labeled datasets to map inputs to outputs by minimizing prediction errors. It includes various algorithms such as Linear Regression for continuous values, Logistic Regression for binary classification, Decision Trees for decision modeling, and Support Vector Machines for class boundary identification. These algorithms are essential for tasks requiring predictions based on historical data.

Author

ffast9879

Language

EN