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Forecasting Time Series Data with Prophet

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

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Product type Paperback
Published in Mar 2023
Publisher Packt
ISBN-13 9781837630417
Length 282 pages
Edition 2nd 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 (20) Chapters Close

Preface 1. Part 1: Getting Started with Prophet
2. Chapter 1: The History and Development of Time Series Forecasting FREE CHAPTER 3. Chapter 2: Getting Started with Prophet 4. Chapter 3: How Prophet Works 5. Part 2: Seasonality, Tuning, and Advanced Features
6. Chapter 4: Handling Non-Daily Data 7. Chapter 5: Working with Seasonality 8. Chapter 6: Forecasting Holiday Effects 9. Chapter 7: Controlling Growth Modes 10. Chapter 8: Influencing Trend Changepoints 11. Chapter 9: Including Additional Regressors 12. Chapter 10: Accounting for Outliers and Special Events 13. Chapter 11: Managing Uncertainty Intervals 14. Part 3: Diagnostics and Evaluation
15. Chapter 12: Performing Cross-Validation 16. Chapter 13: Evaluating Performance Metrics 17. Chapter 14: Productionalizing Prophet 18. Index 19. Other Books You May Enjoy

Installing Prophet

Installing Prophet on your machine is a 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 others. This...

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