Multivariate Time Series Forecasting with Seasonality and Holiday Effect Using Prophet in Python

Amy @GrabNGoInfo
GrabNGoInfo
Published in
13 min readMay 25, 2022

--

How the time series model performance is impacted by seasonalities, holidays, special events, and additional features

Multivariate Time Series Forecasting with Seasonality and Holiday Effect Using Prophet in Python. How the time series model performance is impacted by seasonalities, holidays, special events, and additional features.
Photo by Brian Wangenheim on Unsplash

Do you want to build a time series model that incorporates seasonalities, holidays, special events, and other features? In this tutorial, we will talk about how to achieve this using Facebook Prophet in Python. After the tutorial, you will learn:

  • How to include seasonalities in time series prediction?
  • How to add standard holidays of a country?
  • How to add special events such as Super Bowl?
  • How to add additional predictors?
  • How the time series model performance is impacted by seasonalities, holidays, special events, and additional features?

Resources for this post:

Let’s get started!

Step 1: Install and Import Libraries

--

--