Forecasting Time Series Data with Facebook Prophet
This book will help you get to grips with the task of time series forecasting using the leading open source forecasting tool available to the public, Facebook Prophet. You will learn how to implement the advanced features of Prophet to build forecast models and understand why and how to modify each of the default parameters to improve results.
Offered by
Difficulty Level
Intermediate
Completion Time
9h
Language
English
About Book
Who Is This Book For?
This book is for data scientists, data analysts, machine learning engineers, software engineers, project managers, and business managers who want to build time series forecasts in Python. Working knowledge of Python and a basic understanding of forecasting principles and practices will be useful to apply the concepts covered in this book more easily.
Forecasting Time Series Data with Facebook Prophet
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 9h total length
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
Related Resources
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