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Time Series with Python

How to Implement Time Series Analysis and Forecasting Using Python

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  • 164 pages
  • 6 hours of reading

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If you're eager to delve into Time Series analysis but find conventional Data Science textbooks lacking, this book offers a focused approach. It aims to bridge the gap by providing clear explanations and practical insights specifically tailored to Time Series data. Ideal for learners seeking a deeper understanding, it emphasizes real-world applications and techniques that are often overlooked in broader texts, making it a valuable resource for both beginners and experienced practitioners in the field.

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Time Series with Python, Bob Mather

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Released
2020
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Subtitle
How to Implement Time Series Analysis and Forecasting Using Python
Language
English
Authors
Bob Mather
Publisher
Draft2Digital
Released
2020
Format
Paperback
Pages
164
ISBN13
9781393147381
Series
Description
If you're eager to delve into Time Series analysis but find conventional Data Science textbooks lacking, this book offers a focused approach. It aims to bridge the gap by providing clear explanations and practical insights specifically tailored to Time Series data. Ideal for learners seeking a deeper understanding, it emphasizes real-world applications and techniques that are often overlooked in broader texts, making it a valuable resource for both beginners and experienced practitioners in the field.