Items related to Data Science (Chapman & Hall/CRC Data Science Series)
- PublisherChapman and Hall/CRC
- Publication date2022
- ISBN 10 0367524686
- ISBN 13 9780367524685
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages456
Search results for Data Science (Chapman & Hall/CRC Data Science Series)
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Data Science (Chapman & Hall/CRC Data Science Series)
Published by
Chapman and Hall/CRC (edition 1), 2022
ISBN 10: 0367524686
ISBN 13: 9780367524685
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Paperback
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Data Science (Chapman Hall/CRC Data Science Series)
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Data Science (Chapman & Hall/CRC Data Science Series)
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Data Science (Chapman & Hall/CRC Data Science Series)
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Data Science : A First Introduction
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Data Science
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Data Science
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Data Science (Chapman & Hall/CRC Data Science Series)
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Data Science
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Data Science (Paperback)
Published by
Taylor & Francis Ltd, London, 2022
ISBN 10: 0367524686
ISBN 13: 9780367524685
New
Paperback
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
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Paperback. Condition: new. Paperback. Data Science: A First Introduction focuses on using the R 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.The text emphasizes workflows that are clear, reproducible, and shareable, and includes coverage of the basics of version control. All source code is available online, demonstrating the use of good reproducible project workflows.Based on educational research and active learning principles, the book uses a modern approach to R and includes accompanying autograded Jupyter worksheets for interactive, self-directed learning. The book will leave readers well-prepared for data science projects.The book 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 in the University of British Columbias DSCI100: Introduction to Data Science course. Data Science: An Introduction focuses on using the R programming language in Jupyter notebooks to perform basic data manipulation and cleaning, create effective visualizations, and extract insights from data using supervised predictive models. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780367524685
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