This comprehensive ebook presents real-world machine learning use cases across industries, illustrating how organizations apply ML to solve business problems. Topics include fraud detection, demand forecasting, sports analytics, anomaly detection, and time-series analysis. Each chapter combines conceptual explanations with practical implementation guidance using modern data platforms. The book highlights end-to-end ML workflows, including data ingestion, feature engineering, model training, deployment, and monitoring. Designed for practitioners, it serves both as inspiration and a hands-on guide for building scalable machine learning solutions in production environments.

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