This comprehensive guide walks readers through the complete machine learning pipeline, from data collection and preparation to advanced model training and decision-making. It demystifies critical processes such as feature engineering, algorithm selection, model evaluation, and hyperparameter tuning while highlighting practical applications and tools like DBMS, Big Data platforms, and cloud-hosted systems.
With real-world examples and clear explanations, this book bridges the gap between raw data and actionable insights. Whether you're a data scientist, business leader, or tech enthusiast, Data to Decision Using Machine Learning equips you with the knowledge to harness the power of AI-driven decisions and drive innovation in your domain.
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