Whether you're an aspiring data scientist, a student looking to solidify your skills, or a professional seeking to expand your practical knowledge, this book provides a step-by-step approach to building data-driven applications. We'll start with the fundamentals, exploring how to acquire, clean, and prepare data for analysis. Then, we'll delve into the intricacies of feature engineering, model selection, and training, equipping you with the tools and techniques needed to build effective predictive models.But we won't stop there. We'll also cover the crucial aspects of model evaluation, deployment, and ongoing monitoring, ensuring that your projects are not only accurate but also robust and scalable. You'll learn how to communicate your findings effectively, transforming complex data into clear, actionable insights.This isn't just a theoretical exploration; it's a practical, project-based learning experience. By working through the examples and building projects from the ground up, you'll gain the confidence and expertise to tackle real-world data science challenges.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Whether you're an aspiring data scientist, a student looking to solidify your skills, or a professional seeking to expand your practical knowledge, this book provides a step-by-step approach to building data-driven applications. We'll start with the fundamentals, exploring how to acquire, clean, and prepare data for analysis. Then, we'll delve into the intricacies of feature engineering, model selection, and training, equipping you with the tools and techniques needed to build effective predictive models.But we won't stop there. We'll also cover the crucial aspects of model evaluation, deployment, and ongoing monitoring, ensuring that your projects are not only accurate but also robust and scalable. You'll learn how to communicate your findings effectively, transforming complex data into clear, actionable insights.This isn't just a theoretical exploration; it's a practical, project-based learning experience. By working through the examples and building projects from the ground up, you'll gain the confidence and expertise to tackle real-world data science challenges. 144 pp. Englisch. Nº de ref. del artículo: 9786208441531
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Taschenbuch. Condición: Neu. HANDS ON DATA SCIENCE: BUILDING PROJECTS FROM SCRATCH | Ishwarya M. V. (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208441531 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Nº de ref. del artículo: 133336081
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Whether you're an aspiring data scientist, a student looking to solidify your skills, or a professional seeking to expand your practical knowledge, this book provides a step-by-step approach to building data-driven applications. We'll start with the fundamentals, exploring how to acquire, clean, and prepare data for analysis. Then, we'll delve into the intricacies of feature engineering, model selection, and training, equipping you with the tools and techniques needed to build effective predictive models.But we won't stop there. We'll also cover the crucial aspects of model evaluation, deployment, and ongoing monitoring, ensuring that your projects are not only accurate but also robust and scalable. You'll learn how to communicate your findings effectively, transforming complex data into clear, actionable insights.This isn't just a theoretical exploration; it's a practical, project-based learning experience. By working through the examples and building projects from the ground up, you'll gain the confidence and expertise to tackle real-world data science challenges.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 144 pp. Englisch. Nº de ref. del artículo: 9786208441531
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Whether you're an aspiring data scientist, a student looking to solidify your skills, or a professional seeking to expand your practical knowledge, this book provides a step-by-step approach to building data-driven applications. We'll start with the fundamentals, exploring how to acquire, clean, and prepare data for analysis. Then, we'll delve into the intricacies of feature engineering, model selection, and training, equipping you with the tools and techniques needed to build effective predictive models.But we won't stop there. We'll also cover the crucial aspects of model evaluation, deployment, and ongoing monitoring, ensuring that your projects are not only accurate but also robust and scalable. You'll learn how to communicate your findings effectively, transforming complex data into clear, actionable insights.This isn't just a theoretical exploration; it's a practical, project-based learning experience. By working through the examples and building projects from the ground up, you'll gain the confidence and expertise to tackle real-world data science challenges. Nº de ref. del artículo: 9786208441531
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