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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

Saturating forecasts

In the early 1800s, westward expansion in the United States brought many settlers and their livestock into contact with the native wolf population. These wolves began to prey on the domestic stock, which resulted in the settlers hunting and killing the wolves in order to protect their own animals. The gray wolf was still present on the land which became Yellowstone National Park when it was established in 1872, but over the next few decades they were hunted nearly to extinction in the region and throughout the lower 48 states.

In the 1960s, the public began to understand the idea of ecosystems and the interconnectedness of species, and in 1975, the decision to restore wolf populations to Yellowstone was taken, with 31 gray wolves finally being relocated to the park from Canada in 1995. This provided an almost perfect experiment of natural population growth inside the park.

We'll look at this population in the next few examples. However, we'll be...

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