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This book on Machine Learning is prepared with reference to the VTU BCS602 syllabus for Semester VI, providing a clear understanding of fundamental concepts, algorithms, techniques, and applications. It covers data analysis, preprocessing, regression, decision trees, Bayesian learning, clustering, artificial neural networks, and reinforcement learning.
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