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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

This last chapter in the book was the most optional of all of them, but for those of you who often work in a production environment, these tools will be invaluable.

In this chapter, you learned how to save a model to your hard drive using JSON serialization, so you can share it or open it up later without requiring the model to be retrained. You also learned how to update a model that has already been fitted, another procedure designed to save you time. Finally, you examined a new plot format, an impressive tool to make your plots interactive in a browser, and hopefully, you saw the potential of packaging this information into a dashboard.

Together, what you learned in this chapter will help you to update your model as time progresses and new data comes in, and share that model via live, web-based interactive dashboards.

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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