UID:
almahu_9949576312202882
Umfang:
1 online resource (282 pages)
ISBN:
9781837630417
,
9781837635504
Inhalt:
Prophet enables Python and R developers to build scalable time series forecasts. This book will help you to implement Prophet's cutting-edge forecasting techniques to model future data with higher accuracy and with very few lines of code. You will begin by exploring the evolution of time series forecasting, from the basic early models to the advanced models of the present day. The book will demonstrate how to install and set up Prophet on your machine and build your fi rst model with only a few lines of code. You'll then cover advanced features such as visualizing your forecasts, adding holidays, seasonality, and trend changepoints, handling outliers, and more, along with understanding why and how to modify each of the default parameters. Later chapters will show you how to optimize more complicated models with hyperparameter tuning and by adding additional regressors to the model. Finally, you'll learn how to run diagnostics to evaluate the performance of your models and see some useful features when running Prophet in production environments. By the end of this Prophet book, you will be able to take a raw time series dataset and build advanced and accurate forecast models with concise, understandable, and repeatable code.
Anmerkung:
Forecasting time series data with prophet: build, improve, and optimize time series forecasting models using Meta's advanced forecasting tool, 2nd edition -- Contributors -- Table of Contents -- Preface -- Part 1: Getting Started with Prophet -- Chapter 1: The History and Development of Time Series Forecasting -- Chapter 2: Getting Started with Prophet -- Chapter 3: How Prophet Works -- Part 2: Seasonality, Tuning, and Advanced Features -- Chapter 4: Handling Non-Daily Data -- Chapter 5: Working with Seasonality -- Chapter 6: Forecasting Holiday Effects -- Chapter 7: Controlling Growth Modes -- Chapter 8: Influencing Trend Changepoints -- Chapter 9: Including Additional Regressors -- Chapter 10: Accounting for Outliers and Special Events -- Chapter 11: Managing Uncertainty Intervals -- Part 3: Diagnostics and Evaluation -- Chapter 12: Performing Cross-Validation -- Chapter 13: Evaluating Performance Metrics -- Chapter 14: Productionalizing Prophet -- Index -- Other Books You May Enjoy.
,
Mode of access: World Wide Web.
Sprache:
Englisch
Schlagwort(e):
Electronic books.
URL:
https://portal.igpublish.com/iglibrary/search/PACKT0006618.html
