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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.
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Summary

In this chapter, you first learned how to add the default holidays for a country and then went a bit deeper by adding in any state or province holidays. After that, you learned how to add custom holidays and expanded this technique to adjust for holidays that span multiple days. Finally, you learned what regularization is and how it is used to control overfitting, and how to apply it globally to all holidays in your model or more granularly by specifying different regularization for each individual holiday.

Holidays often cause massive spikes in time series and ignoring their effects will cause Prophet to perform very poorly in its forecast results. The tools in this chapter will allow your models to accommodate these external events and provide a way to predict the effects running into the future.

In the next chapter, we'll look at the different growth modes available in Prophet. So far, all our models have had linear growth but that may not be the only mode you...

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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