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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
Languages
Python
Tools
Prophet
Concepts
Predictive Analytics
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Author (1)
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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Section 3: Diagnostics and Evaluation

This final section will be about model evaluation and next steps. You will learn how to use Prophet's built-in performance metrics to compare different models in a statistically robust way and how to visualize their performance. Finally, the section will close out with some additional features of Prophet that could be used when deploying Prophet in real-world use cases, where updating models and sharing results are likely to be frequent occurrences.

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

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