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Time Series with Python: How to Implement Time Series Analysis and Forecasting

US $39.05
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eBay item number:402249696940
Last updated on Dec 15, 2023 23:07:58 PSTView all revisionsView all revisions

Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Book Title
Time Series with Python: How to Implement Time Series Analysis an
Publication Date
2020-04-13
Pages
222
ISBN
9780648783077
Subject Area
Mathematics, Computers
Publication Name
Time Series with Python : How to Implement Time Series Analysis and Forecasting Using Python
Publisher
Abiprod
Item Length
8.3 in
Subject
Probability & Statistics / Regression Analysis, Probability & Statistics / Time Series, Programming Languages / Python
Publication Year
2020
Type
Textbook
Format
Hardcover
Language
English
Item Height
0.6 in
Author
Bob Mather
Item Weight
14.7 Oz
Item Width
5.8 in
Number of Pages
222 Pages

About this product

Product Identifiers

Publisher
Abiprod
ISBN-10
0648783073
ISBN-13
9780648783077
eBay Product ID (ePID)
16050070218

Product Key Features

Number of Pages
222 Pages
Publication Name
Time Series with Python : How to Implement Time Series Analysis and Forecasting Using Python
Language
English
Subject
Probability & Statistics / Regression Analysis, Probability & Statistics / Time Series, Programming Languages / Python
Publication Year
2020
Type
Textbook
Subject Area
Mathematics, Computers
Author
Bob Mather
Format
Hardcover

Dimensions

Item Height
0.6 in
Item Weight
14.7 Oz
Item Length
8.3 in
Item Width
5.8 in

Additional Product Features

Intended Audience
Trade
Synopsis
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., Are you looking to learn more about Time Series, but struggling to find them in traditional Data Science textbooks?
ebay_catalog_id
4

Item description from the seller

AlibrisBooks

AlibrisBooks

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Super impressed with this seller! They had the best price by far for this book! Both the cost of the book and the shipping fee was far better than average! The book came exactly as described, it was well packaged and quite a bit earlier than expected! The seller was polite and replied quickly to my messages. I’ll definitely make another purchase soon! Thank you to the seller! Be safe and keep up the great work!

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