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62629275
Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning
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Item #:
62629275
GTQ 588
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Product Details
| Publisher | Packt Publishing |
| Publication date | November 24, 2022 |
| Language | English |
| Print length | 552 pages |
| ISBN-10 | 1803246804 |
| ISBN-13 | 978-1803246802 |
| Item Weight | 2.07 pounds (940 grams) |
| Dimensions | 7.5 x 1.25 x 9.25 inches (19.1 x 3.2 x 23.5 cm) |
Product Description
Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning
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Probability & Statistics Editorial Review
Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning is a comprehensive guide that spans over 500 pages, offering detailed explanations of various forecasting techniques, including ARIMA and deep learning models. Readers commend the author for covering critical topics and providing valuable code examples, accessible through GitHub for free. The book is particularly lauded for its structured layout and thorough approach, making it accessible for both beginners and experienced practitioners looking to enhance their skills. Testimonials highlight its practical use in real-world projects, emphasizing its utility in tackling complex forecasting problems with AI techniques.
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Pros
- Comprehensive coverage of time series forecasting techniques
- Practical coding examples available on GitHub
- Great for beginners and experienced data scientists
- Detailed exploration of data wrangling concepts
- Includes insights on modern machine learning methods
Cons
- Some may find the smaller font challenging to read
Product Price History
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