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Supervised Learning in Machine Learning by queen.druhi is a document available to read on EtoBox.

What is Supervised Learning in Machine Learning about?

The document provides an overview of supervised learning in machine learning, explaining its process of using labeled data to train models for predicting outcomes. It details various types of regression algorithms, including simple linear, multiple linear, polynomial, and logistic regression, along with real-life applications for each. Key concepts such as dependent and independent variables, outliers, and model evaluation are also discussed.

Author

queen.druhi

Language

EN