The book "Supervised Machine Learning: A Comprehensive Guide" by Dr. Subir Gupta aims to provide an in-depth understanding of supervised machine learning algorithms. It targets students, professionals, and researchers, offering clear explanations and practical applications. The book is divided into three main sections: an introduction to the fundamental concepts and types of supervised learning, a detailed exploration of regression algorithms, and an extensive examination of classification algorithms. Each algorithm is explained with definitions, practical uses, pseudocode, and discussions of their limitations. The guide is designed to be a valuable resource for anyone looking to apply machine learning techniques effectively to solve real-world problems.

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