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Time Series with Python

How to Implement Time Series Analysis and Forecasting Using Python

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  • 164 stránek
  • 6 hodin čtení

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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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Rok vydání
2020
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Podtitul
How to Implement Time Series Analysis and Forecasting Using Python
Jazyk
anglicky
Autoři
Bob Mather
Vydavatel
Draft2Digital
Rok vydání
2020
Vazba
měkká
Počet stran
164
ISBN13
9781393147381
Série
Anotace
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.