Da: BargainBookStores, Grand Rapids, MI, U.S.A.
EUR 24,38
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Aggiungi al carrelloPaperback or Softback. Condizione: New. Time Series with Python: How to Implement Time Series Analysis and Forecasting Using Python 0.59. Book.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 22,76
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Da: BargainBookStores, Grand Rapids, MI, U.S.A.
EUR 25,17
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Aggiungi al carrelloPaperback or Softback. Condizione: New. Time Series with Python: How to Implement Time Series Analysis and Forecasting Using Python 0.43. Book.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 24,06
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 23,01
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Da: California Books, Miami, FL, U.S.A.
EUR 27,34
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Da: Russell Books, Victoria, BC, Canada
EUR 25,15
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Aggiungi al carrelloPaperback. Condizione: New. Special order direct from the distributor.
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
EUR 35,38
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Aggiungi al carrelloHardback or Cased Book. Condizione: New. Time Series with Python: How to Implement Time Series Analysis and Forecasting Using Python 0.92. Book.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 24,20
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Da: Chiron Media, Wallingford, Regno Unito
EUR 20,12
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Da: Chiron Media, Wallingford, Regno Unito
EUR 20,15
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 24,67
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Da: Books Puddle, New York, NY, U.S.A.
EUR 37,07
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 23,19
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 27,77
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Da: Russell Books, Victoria, BC, Canada
EUR 38,27
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 36,31
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Da: dsmbooks, Liverpool, Regno Unito
EUR 75,76
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Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 26,38
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 26,15
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 268.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 27,35
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 195.
Da: Majestic Books, Hounslow, Regno Unito
EUR 36,84
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 37,59
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 164.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 40,06
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 417.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 35,36
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Are you looking to learn more about Time Series, but struggling to find them in traditional Data Science textbooks This book is your answer.Time Series is an exciting and important part of Data Analysis. Time Series Data is more readily available than most forms of data and answers questions that cross-sectional data struggle to do. It also has more real world application in the prediction of future events. However it is not generally found in a traditional data science toolkit. There is also limited centralized resources on the applications of Time Series, especially using traditional programming languages such as Python.This book solves all these problems, and more. It starts off with basic concepts in Time Series, and switches to more advanced topics. It shows you how to set up Python from start, and goes through over 20 examples of applying both simple and advanced Time Series concepts with Python code.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 38,01
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Are you looking to learn more about Time Series, but struggling to find them in traditional Data Science textbooks This book is your answer. Time Series is an exciting and important part of Data Analysis. Time Series Data is more readily available than most forms of data and answers questions that cross-sectional data struggle to do. It also has more real world application in the prediction of future events. However it is not generally found in a traditional data science toolkit. There is also limited centralized resources on the applications of Time Series, especially using traditional programming languages such as Python. This book solves all these problems, and more. It starts off with basic concepts in Time Series, and switches to more advanced topics. It shows you how to set up Python from start, and goes through over 20 examples of applying both simple and advanced Time Series concepts with Python code. Here's What's Included In this Book: What is a Time Series 4 Different Elements of a Time Series Why Python is the best way to Implement Time Series Step by Step Guide to Installing Python and Importing Time Series Data 6 Different Techniques to Analyze Time Series Data 3 Advanced Time Series Concepts for Time Series Prediction Time Series Visualization Techniques in Python Even if you've never implemented Time Series before, you will still find this book useful.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 43,96
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Are you looking to learn more about Time Series, but struggling to find them in traditional Data Science textbooks This book is your answer. Time Series is an exciting and important part of Data Analysis. Time Series Data is more readily available than most forms of data and answers questions that cross-sectional data struggle to do. It also has more real world application in the prediction of future events. However it is not generally found in a traditional data science toolkit. There is also limited centralized resources on the applications of Time Series, especially using traditional programming languages such as Python. This book solves all these problems, and more. It starts off with basic concepts in Time Series, and switches to more advanced topics. It shows you how to set up Python from start, and goes through over 20 examples of applying both simple and advanced Time Series concepts with Python code.