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

Product typeBook
Published inMar 2021
Reading LevelBeginner
PublisherPackt
ISBN-139781800568532
Edition1st Edition
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Greg Rafferty
Greg Rafferty
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Greg Rafferty

Greg Rafferty is a data scientist in San Francisco, California. With over a decade of experience, he has worked with many of the top firms in tech, including Google, Facebook, and IBM. Greg has been an instructor in business analytics on Coursera and has led face-to-face workshops with industry professionals in data science and analytics. With both an MBA and a degree in engineering, he is able to work across the spectrum of data science and communicate with both technical experts and non-technical consumers of data alike.
Read more about Greg Rafferty

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Summary

Seasonality truly is the heart of Facebook Prophet. This chapter covered a lot of ground; the foundations you learned here will be used throughout the remaining chapters of this book. Indeed, almost any model you build in Prophet will have seasonality considerations, whereas many of the upcoming chapters cover special cases that may or may not apply to your specific problem.

You started this chapter by learning the difference between additive and multiplicative seasonality, and how to identify whether your dataset features one or the other. We then briefly discussed Fourier series and demonstrated how a partial Fourier sum can build a very complex periodic curve. Using these ideas, you learned how setting the Fourier order of a seasonality can be used to control its shape by allowing either more or less freedom to bend along its path.

Next, you modeled the 11-year cycle of sunspots and learned how to add custom seasonalities. These custom seasonalities came into use...

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

Author (1)

author image
Greg Rafferty

Greg Rafferty is a data scientist in San Francisco, California. With over a decade of experience, he has worked with many of the top firms in tech, including Google, Facebook, and IBM. Greg has been an instructor in business analytics on Coursera and has led face-to-face workshops with industry professionals in data science and analytics. With both an MBA and a degree in engineering, he is able to work across the spectrum of data science and communicate with both technical experts and non-technical consumers of data alike.
Read more about Greg Rafferty