No detailed description available for "Forecasting Time Series Data with Facebook Prophet".
Sprache
Verlagsort
Basel/Berlin/Boston
Großbritannien
Zielgruppe
Editions-Typ
Produkt-Hinweis
Dateigröße
ISBN-13
978-1-80056-652-1 (9781800566521)
Schweitzer Klassifikation
Rafferty Greg:
Greg Rafferty is a data scientist at Google in San Francisco, California. With over a decade of experience, he has worked with many of the top firms in tech, including Facebook (Meta) 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.
Table of Contents - The History and Development of Time Series Forecasting
- Getting Started with Facebook Prophet
- Non-Daily Data
- Seasonality
- Holidays
- Growth Modes
- Trend Changepoints
- Additional Regressors
- Outliers and Special Events
- Uncertainty Intervals
- Cross-Validation
- Performance Metrics
- Productionalizing Prophet
