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Data Science in Action: From Data Wrangling to Predictive Modeling - Couverture souple

Relington, James

 
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Synopsis

"Data Science in Action: From Data Wrangling to Predictive Modeling" is a comprehensive and practical guide that explores the full data science lifecycle, from collecting and cleaning raw data to building and deploying machine learning models. Designed for aspiring data scientists and experienced practitioners alike, this book delves into essential techniques, tools, and real-world applications across various industries, emphasizing ethical considerations, interpretability, and the evolving future of the field. Through in-depth chapters, it equips readers with the knowledge and skills needed to turn data into actionable insights and drive intelligent decision-making in today’s data-driven world.

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