Machine learning has become a cornerstone of modern technology, enabling computers to learn from data and make intelligent decisions. This book offers a practical and comprehensive guide for developers and data enthusiasts eager to build intelligent systems using some of the most popular and powerful Python libraries: Scikit-Learn, Keras, and TensorFlow. It bridges theoretical concepts with hands-on applications, providing readers with the tools and knowledge to effectively design, implement, and optimize machine learning models.

• Foundational Concepts: The book starts by demystifying machine learning fundamentals, including supervised and unsupervised learning, key algorithms, and evaluation metrics.
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