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Forecasting Time Series Data with Facebook Prophet

You're reading from  Forecasting Time Series Data with Facebook Prophet

Product type Book
Published in Mar 2021
Publisher Packt
ISBN-13 9781800568532
Pages 270 pages
Edition 1st Edition
Languages
Author (1):
Greg Rafferty Greg Rafferty
Profile icon Greg Rafferty

Table of Contents (18) Chapters

Preface 1. Section 1: Getting Started
2. Chapter 1: The History and Development of Time Series Forecasting 3. Chapter 2: Getting Started with Facebook Prophet 4. Section 2: Seasonality, Tuning, and Advanced Features
5. Chapter 3: Non-Daily Data 6. Chapter 4: Seasonality 7. Chapter 5: Holidays 8. Chapter 6: Growth Modes 9. Chapter 7: Trend Changepoints 10. Chapter 8: Additional Regressors 11. Chapter 9: Outliers and Special Events 12. Chapter 10: Uncertainty Intervals 13. Section 3: Diagnostics and Evaluation
14. Chapter 11: Cross-Validation 15. Chapter 12: Performance Metrics 16. Chapter 13: Productionalizing Prophet 17. Other Books You May Enjoy

Summary

With this brief survey of time series, you have learned why time series data can be problematic if not analyzed with specialized techniques. You have followed the developments of mathematicians and statisticians as they have created new techniques to achieve higher forecasting accuracy or more ease of use. You've also learned what motivated the Prophet team to add their own contributions to this legacy and what decisions they made in their approach.

In the next chapter, you'll learn how to get Prophet running on your machine and build your first model. By the end of this book, you'll understand every feature, no matter how small, and have them all in your toolbox to supercharge your own forecasts.

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Forecasting Time Series Data with Facebook Prophet
Published in: Mar 2021 Publisher: Packt ISBN-13: 9781800568532
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