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Ajouter au panierPaperback or Softback. Etat : New. Time Series with Python: How to Implement Time Series Analysis and Forecasting Using Python 0.59. Book.
Edité par Abiprod Pty Ltd 4/17/2020, 2020
ISBN 10 : 1393147380 ISBN 13 : 9781393147381
Langue: anglais
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Ajouter au panierPaperback or Softback. Etat : New. Time Series with Python: How to Implement Time Series Analysis and Forecasting Using Python 0.43. Book.
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Ajouter au panierEtat : good. The item shows wear from consistent use, but it remains in good condition and works perfectly. All pages and cover are intact including the dust cover, if applicable . Spine may show signs of wear. Pages may include limited notes and highlighting. May NOT include discs, access code or other supplemental materials.
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Ajouter au panierPAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Ajouter au panierPaperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 268.
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Ajouter au panierPaperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 195.
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Ajouter au panierTaschenbuch. Etat : 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.
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 39,36
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Ajouter au panierHardback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 417.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierTaschenbuch. Etat : 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.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 44,65
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Ajouter au panierEtat : New. Print on Demand pp. 164.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 43,28
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Ajouter au panierBuch. Etat : 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.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 49,64
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Ajouter au panierEtat : New. PRINT ON DEMAND pp. 164.