paperback. Condizione: Very Good. Cover and edges may have some wear.
Da: Books From California, Simi Valley, CA, U.S.A.
paperback. Condizione: Good. minor wear and creasing.
EUR 65,46
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Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Condizione: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
Condizione: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 73,16
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EUR 78,26
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 80,75
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Condizione: New.
EUR 77,89
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EUR 68,20
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 72,62
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 75,87
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Lingua: Inglese
Editore: Chapman and Hall/CRC 2024-08-20, 2024
ISBN 10: 103257223X ISBN 13: 9781032572239
Da: Chiron Media, Wallingford, Regno Unito
EUR 75,34
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 79,93
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EUR 78,16
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EUR 86,54
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Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2024
ISBN 10: 103257223X ISBN 13: 9781032572239
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 107,06
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Data Science: A First Introduction with Python focuses on using the Python programming language in Jupyter notebooks to perform data manipulation and cleaning, create effective visualizations, and extract insights from data using classification, regression, clustering, and inference. It emphasizes workflows that are clear, reproducible, and shareable, and includes coverage of the basics of version control. Based on educational research and active learning principles, the book uses a modern approach to Python and includes accompanying autograded Jupyter worksheets for interactive, self-directed learning. The text will leave readers well-prepared for data science projects. It is designed for learners from all disciplines with minimal prior knowledge of mathematics and programming. The authors have honed the material through years of experience teaching thousands of undergraduates at the University of British Columbia.Key Features:Includes autograded worksheets for interactive, self-directed learning.Introduces readers to modern data analysis and workflow tools such as Jupyter notebooks and GitHub, and covers cutting-edge data analysis and manipulation Python libraries such as pandas, scikit-learn, and altair.Is designed for a broad audience of learners from all backgrounds and disciplines.
EUR 113,43
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 464 pages. 10.00x7.00x10.00 inches. In Stock.
Da: Revaluation Books, Exeter, Regno Unito
EUR 114,28
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Aggiungi al carrelloPaperback. Condizione: Brand New. 496 pages. 10.00x7.00x1.07 inches. In Stock.
EUR 85,03
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. Tiffany Timbers is an Associate Professor of Teaching in the Department of Statistics and Co-Director for the Master of Data Science program (Vancouver Option) at the University of British Columbia. In these roles she teaches and develops curricul.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2024
ISBN 10: 103257223X ISBN 13: 9781032572239
Da: Rarewaves.com UK, London, Regno Unito
EUR 100,04
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Data Science: A First Introduction with Python focuses on using the Python programming language in Jupyter notebooks to perform data manipulation and cleaning, create effective visualizations, and extract insights from data using classification, regression, clustering, and inference. It emphasizes workflows that are clear, reproducible, and shareable, and includes coverage of the basics of version control. Based on educational research and active learning principles, the book uses a modern approach to Python and includes accompanying autograded Jupyter worksheets for interactive, self-directed learning. The text will leave readers well-prepared for data science projects. It is designed for learners from all disciplines with minimal prior knowledge of mathematics and programming. The authors have honed the material through years of experience teaching thousands of undergraduates at the University of British Columbia.Key Features:Includes autograded worksheets for interactive, self-directed learning.Introduces readers to modern data analysis and workflow tools such as Jupyter notebooks and GitHub, and covers cutting-edge data analysis and manipulation Python libraries such as pandas, scikit-learn, and altair.Is designed for a broad audience of learners from all backgrounds and disciplines.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 174,78
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
EUR 196,02
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Da: Majestic Books, Hounslow, Regno Unito
EUR 193,23
Quantità: 3 disponibili
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 181,42
Quantità: 1 disponibili
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EUR 195,94
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.