Time Series Forecasting With Prophet in Python
Time series forecasting can be challenging as there are many different methods you could use and many different hyperparameters for each method.
The Prophet library is an open-source library designed for making forecasts for univariate time series datasets. It is easy to use and designed to automatically find a good set of hyperparameters for the model in an effort to make skillful forecasts for data with trends and seasonal structure by default.
In this tutorial, you will discover how to use the Facebook Prophet library for time series forecasting.
After completing this tutorial, you will know:
- Prophet is an open-source library developed by Facebook and designed for automatic forecasting of univariate time series data.
- How to fit Prophet models and use them to make in-sample and out-of-sample forecasts.
- How to evaluate a Prophet model on a hold-out dataset.
Let’s get started.
Time Series Forecasting With Prophet in Python
Photo by Rinaldo Wurglitsch, some rights reserved.
Tutorial Overview
This tutorial is divided into three parts; they are:
- Prophet Forecasting Library