Item #:
87100052
Machine Learning for Time Series Forecasting with Python by F... - 9781119682363
85% of respondents would recommend this to a friend
Item #:
87100052
BIF 168209
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Machine Learning for Time Series Forecasting with Python is an invaluable and indispensable guide to the fundamental and advanced concepts of machine learning applied to time series modeling.
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What Stands Out
Comprehensive Guide
This book offers an in-depth exploration of time series forecasting using Python, making complex concepts accessible for beginners and valuable for experienced practitioners.
Practical Examples
It includes real-world case studies and practical exercises, allowing readers to apply theories directly to meaningful scenarios, enhancing their learning and practical skills.
Up-to-Date Techniques
Covers the latest machine learning techniques tailored for time series data, ensuring that users can leverage cutting-edge methods to improve forecasting accuracy and performance.
Product Details
| Book Title | Machine Learning for Time Series Forecasting with Python |
| Format | Paperback |
| Language | English |
| Author | Francesca Lazzeri |
| ISBN | 9781119682363 |
| Country of Origin | United States |
| Item Weight | 1.5 lbs (680 grams) |
Who Should Buy?
-
Data Scientists
Ideal for data scientists seeking to enhance their skills in time series analysis using Python.
-
Business Analysts
Great for business analysts looking to leverage predictive analytics for forecasting sales and market trends.
-
Students
Good for students studying data science or machine learning with a focus on practical applications in time series.
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Beginners
Not suitable for complete beginners unfamiliar with Python or machine learning concepts.
Product Description
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Editorial Review
Machine Learning for Time Series Forecasting with Python by Francesca Lazzeri is a comprehensive paperback guide to understanding and applying machine learning techniques specifically designed for time series data. The book is written in English and would be a valuable resource for anyone looking to deepen their knowledge in this area. It weighs 1.5 lbs and is easy to handle, making it a practical choice for both reading at home and taking on the go. This title focuses on the application of Python, ideal for developers and data scientists seeking to leverage machine learning in their forecasting projects.
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Pros
- Comprehensive guide on time series forecasting
- Written by an established author
- Emphasizes practical application with Python
- Lightweight and portable format
- Accessible language for various skill levels
Cons
- Not available in other formats like hardcover
Product Price History
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Features & Benefits
- Learn machine learning principles for time series modeling.
- Author Francesca Lazzeri provides comprehensive insights.
- Ideal for those with little to no experience in the subject.
- Covers essential concepts like stationarity, trend, and seasonality.
- Includes real-world examples and practical strategies.
- Perfect for data scientists, analysts, developers, and researchers.
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