6: Classification

Abstract

This comprehensive chapter looks extensively into the field of classification within the context of data science. It carefully examines the underlying ideas. approaches and operational uses of classification techniques. Beginning with an in-depth examination of nearest-neighbor classifiers, the chapter elucidates their mechanisms and implementation intricacies. It discusses the operation of decision trees, with a major focus on the ID3 algorithm, and offers a step-by-step explanation of how to build decision trees for classification purposes. Additionally, the chapter introduces readers to support-vector machines (SVMs), clarifies their crucial functions in binary classification, and explains the mathematical optimization ...

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