This book explains how to use the programming language Python to develop machine learning and deep learning tasks. It provides readers with a solid foundation in the fundamentals of machine learning algorithms and techniques. The book covers a wide range of topics, including data preprocessing, supervised and unsupervised learning, model evaluation, and deployment. By leveraging the power of Python, readers will gain the practical skills necessary to build and deploy effective machine learning models, making this book an invaluable resource for anyone interested in exploring the exciting world of artificial intelligence.
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Tarkeshwar Barua, Blue Crest Univ., Liberia; Kamal Kant Hiran, Sir Padampat Singhania University, India; Ritesh Kumar Jain, Geetanjali Inst. of Tech. Studies, India; Doshi Ruchi, Universidad Azteca, Mexico
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