Forecasting Time Series Data with Prophet
This book will help you get to grips with time series forecasting using the leading open source forecasting tool, Prophet. You’ll learn how to implement Prophet’s advanced features to build forecasting models and understand why and how to modify each of the default parameters to improve results.
Offered by
Difficulty Level
Intermediate
Completion Time
9h24m
Language
English
About Book
Who Is This Book For?
This book is for business managers, data scientists, data analysts, machine learning engineers, and software engineers who want to build time-series forecasts in Python or R. To get the most out of this book, you should have a basic understanding of time series data and be able to differentiate it from other types of data. Basic knowledge of forecasting techniques is a plus.
Forecasting Time Series Data with Prophet
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 9h24m total length
Product Information Document
The History and Development of Time Series Forecasting
Getting Started with Prophet
How Prophet Works
Handling Non-Daily Data
Working with Seasonality
Forecasting Holiday Effects
Controlling Growth Modes
Influencing Trend Changepoints
Including Additional Regressors
Accounting for Outliers and Special Events
Managing Uncertainty Intervals
Performing Cross-Validation
Evaluating Performance Metrics
Productionalizing Prophet
Related Resources
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