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235567555
Practical Time Series Forecasting with Python: A Hands-On Guide, (Paperback)
Item #:
235567555
XCD 155
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Practical Time Series Forecasting with Python: A Hands-On Guide provides an applied approach to time-series forecasting.
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- Practical Time Series Forecasting with Python: A Hands-On Guide provides an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. The book introduces popular forecasting methods and approaches used in a variety of business applications. The book offers clear explanations, practical examples, and end-of-chapter exercises and cases. Readers will learn to use forecasting methods using the free open-source Python software to develop effective forecasting solutions that extract business value from time series data. This edition includes: Popular forecasting methods including smoothing algorithms, regression models, ARIMA, neural networks, deep learning, and ensemblesA practical approach to evaluating the performance of forecasting solutionsA business-analytics exposition focused on linking time-series forecasting to business goalsGuided cases for integrating the acquired knowledge using real dataEnd-of-chapter problems to facilitate active learningData, Python code, and instructor materials on companion websiteAffordable and globally-available textbook, available in hardcover, paperback, and ebook formatsPractical Time Series Forecasting with Python: A Hands-On Guide is the perfect textbook for upper-undergraduate, graduate and MBA-level courses as well as professional programs in data science and business analytics. The book is also designed for practitioners in the fields of operations research, supply chain management, marketing, economics, information systems, finance, and management.
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Business & Investing |
| Publication date | July, 2025 |
| Pages | 256 |
| Subgenre | Statistics |
| Edition | 1 |
| Publisher | Amazon Digital Services LLC - Kdp |
| Language | English |
| Educational level | College |
| Is collectible | N |
| Retail packaging | Single Piece |
| Assembled product height | 10 in |
| Assembled product weight | 0.99 lb (450 grams) |
| Bisac subject heading | Business & Economics |
Product Description
Practical Time Series Forecasting with Python: A Hands-On Guide, (Paperback)
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XCD 155
Order now and get it around Friday, October 23
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Only 99 items left in stock.
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Features & Benefits
- Offers hands-on approach to time-series forecasting using Python.
- Covers popular forecasting methods applicable in various business situations.
- Includes clear explanations, practical examples, and end-of-chapter exercises.
- Equips readers with skills to extract business value from time series data.
- Suitable for upper-undergraduate, graduate, MBA courses, and professionals.
- Available in various formats: hardcover, paperback, and ebook.
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