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Managing Datasets Models by Campesato Oswald (14 results)
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Managing Datasets and Models
Published by Mercury Learning and Information, 2023
ISBN 10: 1683929527 ISBN 13: 9781683929529
Language: English
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Managing Datasets and Models (Paperback or Softback)
Published by Mercury Learning and Information 3/1/2023, 2023
ISBN 10: 1683929527 ISBN 13: 9781683929529
Language: English
Paperback or Softback. Condition: New. Managing Datasets and Models 1.49. Book.
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Managing Datasets and Models
Published by Mercury Learning and Information, 2023
ISBN 10: 1683929527 ISBN 13: 9781683929529
Language: English
Seller: Books From California, Simi Valley, CA, U.S.A.
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Managing Datasets and Models
Published by Mercury Learning and Information, 2023
ISBN 10: 1683929527 ISBN 13: 9781683929529
Language: English
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Managing Datasets and Models
Published by Mercury Learning and Information, 2023
ISBN 10: 1683929527 ISBN 13: 9781683929529
Language: English
Condition: New.
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Managing Datasets and Models
Published by Mercury Learning and Information, 2023
ISBN 10: 1683929527 ISBN 13: 9781683929529
Language: English
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Managing Datasets and Models
Published by Mercury Learning and Information, 2023
ISBN 10: 1683929527 ISBN 13: 9781683929529
Language: English
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Managing Datasets and Models
Published by Mercury Learning and Information, 2023
ISBN 10: 1683929527 ISBN 13: 9781683929529
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Managing Datasets and Models
Published by Mercury Learning & Information, 2023
ISBN 10: 1683929527 ISBN 13: 9781683929529
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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First Edition
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Managing Datasets and Models
Published by Mercury Learning & Information, 2023
ISBN 10: 1683929527 ISBN 13: 9781683929529
Language: English
Condition: New. 2023. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.
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Managing Datasets and Models
Published by Mercury Learning And Information, De Gruyter Mär 2023, 2023
ISBN 10: 1683929527 ISBN 13: 9781683929529
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 59.85
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Add to basketTaschenbuch. Condition: Neu. Neuware -This book contains a fast-paced introduction to data-related tasks in preparation for training models on datasets. It presents a step-by-step, Python-based code sample that uses the kNN algorithm to manage a model on a dataset. Chapter One begins with an introduction to datasets and issues that can arise, followed by Chapter Two on outliers and an 386 pp. Englisch.
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains a fast-paced introduction to data-related tasks in preparation for training models on datasets. It presents a step-by-step, Python-based code sample that uses the kNN algorithm to manage a model on a dataset. Chapter One begins with an introduction to datasets and issues that can arise, followed by Chapter Two on outliers and anomaly detection. The next chapter explores ways for handling missing data and invalid data, and Chapter Four demonstrates how to train models with classification algorithms. Chapter 5 introduces visualization toolkits, such as Sweetviz, Skimpy, Matplotlib, and Seaborn, along with some simple Python-based code samples that render charts and graphs. An appendix includes some basics on using awk. Companion files with code, datasets, and figures are available for downloading. Features: Covers extensive topics related to cleaning datasets and working with models Includes Python-based code samples and a separate chapter on Matplotlib and Seaborn Features companion files with source code, datasets, and figures from the book.
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Managing Datasets and Models
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 59.85
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book contains a fast-paced introduction to data-related tasks in preparation for training models on datasets. It presents a step-by-step, Python-based code sample that uses the kNN algorithm to manage a model on a dataset. Chapter One begins with an introduction to datasets and issues that can arise, followed by Chapter Two on outliers and anomaly detection. The next chapter explores ways for handling missing data and invalid data, and Chapter Four demonstrates how to train models with classification algorithms. Chapter 5 introduces visualization toolkits, such as Sweetviz, Skimpy, Matplotlib, and Seaborn, along with some simple Python-based code samples that render charts and graphs. An appendix includes some basics on using awk. Companion files with code, datasets, and figures are available for downloading. Features: Covers extensive topics related to cleaning datasets and working with models Includes Python-based code samples and a separate chapter on Matplotlib and Seaborn Features companion files with source code, datasets, and figures from the book 368 pp. Englisch.
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US$ 53.21
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Add to basketKartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Campesato Oswald : Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Cruz and specializes in Deep Learning, NLP, Android, and Python. He is the author/co-author of over forty-five books including Data Science Fundamentals P.
