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

Author:   Bob Mather
Publisher:   Abiprod
ISBN:  

9780648783077


Pages:   222
Publication Date:   13 April 2020
Format:   Hardback
Availability:   Available To Order   Availability explained
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Time Series with Python: How to Implement Time Series Analysis and Forecasting Using Python


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Overview

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.

Full Product Details

Author:   Bob Mather
Publisher:   Abiprod
Imprint:   Abiprod
Dimensions:   Width: 14.80cm , Height: 1.40cm , Length: 21.00cm
Weight:   0.417kg
ISBN:  

9780648783077


ISBN 10:   0648783073
Pages:   222
Publication Date:   13 April 2020
Audience:   General/trade ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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