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Forecasting Time Series Data with Facebook Prophet

You're reading from   Forecasting Time Series Data with Facebook Prophet Build, improve, and optimize time series forecasting models using the advanced forecasting tool

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Product type Paperback
Published in Mar 2021
Publisher Packt
ISBN-13 9781800568532
Length 270 pages
Edition 1st Edition
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Author (1):
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Greg Rafferty Greg Rafferty
Author Profile Icon Greg Rafferty
Greg Rafferty
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Table of Contents (18) Chapters Close

Preface 1. Section 1: Getting Started
2. Chapter 1: The History and Development of Time Series Forecasting FREE CHAPTER 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

Installing Prophet

Installing Facebook Prophet on your machine is an easy and straightforward process. However, under the hood, Prophet depends upon the Stan programming language, and installing PyStan, the Python interface for it, is unfortunately not so straightforward because it requires many non-standard compilers.

But don't worry, because there is a really easy way to get Prophet and all dependencies installed, no matter which operating system you use, and that is through Anaconda.

Anaconda is a free distribution of Python that comes bundled with hundreds of additional Python packages that are useful for data science, along with the package management system conda. This is in contrast to installing the Python language from its source on https://www.python.org/, which will include the default Python package manager, called pip.

When pip installs a new package, it will install any dependencies without checking whether these dependent Python packages will conflict with...

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