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

Item description from the seller

AlibrisBooks

AlibrisBooks

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Reasonable shipping cost
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    This is an outstanding seller to deal with. Fair prices that are more than reasonable in this economy. The product is in better condition than described, a true value for my money. Packaged and shipped well shows seller has concern for the products he sells to arrive in excellent condition. The seller is friendly and communicates timely with his customers. I highly recommend this seller and would do business again anytime. Thank you!
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    Great seller! Item is what I ordered; good communication; shipped promptly; good value. NOTE TO SELLER: packaging was NOT appropriate for item; it was a flimsy, plastic envelope, with no stiff material to prevent creases. The book came with two deep creases that involved the *entire* item: one is a 1" triangle lower left side (bound edge); the other is a 7" triangle on upper right side (open edge).
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