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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
- Langue
- Année de publication
- 2020
- product-detail.submit-box.info.binding
- (souple)
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- Sous-titre
- How to Implement Time Series Analysis and Forecasting Using Python
- Langue
- Anglais
- Auteurs
- Bob Mather
- Éditeur
- Draft2Digital
- Publié
- 2020
- Format
- souple
- Pages
- 164
- ISBN13
- 9781393147381
- Séries
- Mots clés
- Nonfiction, Science et Mathématiques, Mathématiques
- 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.