paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
Condition: New.
Condition: As New. Unread book in perfect condition.
Language: English
Published by Bob Mather 4/13/2020, 2020
ISBN 10: 0648783073 ISBN 13: 9780648783077
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Hardback or Cased Book. Condition: New. Time Series with Python: How to Implement Time Series Analysis and Forecasting Using Python. Book.
Seller: Chiron Media, Wallingford, United Kingdom
US$ 23.44
Quantity: 10 available
Add to basketPF. Condition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 28.91
Quantity: Over 20 available
Add to basketCondition: New. In.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 26.58
Quantity: Over 20 available
Add to basketCondition: New.
Condition: very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item for full refund. Ships USPS Media Mail.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 30.92
Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 42.04
Quantity: Over 20 available
Add to basketCondition: New. In.
Condition: New. Print on Demand pp. 222.
Condition: New. Print on Demand pp. 222.
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND pp. 222.
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
US$ 31.99
Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Condition: New. Print on Demand.
Condition: New. Print on Demand.
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND.
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
US$ 47.64
Quantity: Over 20 available
Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Taschenbuch. Condition: 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.
Taschenbuch. Condition: Neu. Time Series with Python | How to Implement Time Series Analysis and Forecasting Using Python | Bob Mather | Taschenbuch | Kartoniert / Broschiert | Englisch | 2020 | Bob Mather | EAN 9780648783084 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Buch. Condition: 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.
Buch. Condition: Neu. Time Series with Python | How to Implement Time Series Analysis and Forecasting Using Python | Bob Mather | Buch | Gebunden | Englisch | 2020 | Bob Mather | EAN 9780648783077 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.