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Machine Learning Concepts and Techniques by ejaz is a document available to read on EtoBox.

What is Machine Learning Concepts and Techniques about?

This document provides definitions and code snippets for common machine learning terms and techniques. It defines terms like accuracy, algorithms, attributes, bias, categorical variables, classification reports, ROC curves, and more. It also provides code examples for tasks like splitting data, measuring accuracy, preprocessing, feature scaling, pipelines, polynomial features, regression, classification, decision trees, KNN, SVMs, Naive Bayes, and measuring performance.

Author

ejaz

Language

EN