Using Prophet to model time series data
The tools we have seen so far for modeling time series data are very general and flexible methods, but they require some knowledge of time series analysis in order to be set up. The analysis needed to construct a good model that can be used to make reasonable predictions for the future can be intensive and time-consuming, and may not be viable for your application. The Prophet library is designed to automatically model time series data quickly, without the need for input from the user, and make predictions for the future.
In this recipe, we will learn how to use Prophet to produce forecasts from a sample time series.
Getting ready
For this recipe, we will need the Pandas package imported as pd, the Matplotlib pyplot package imported as plt, and the Prophet object from the Prophet library, which can be imported using the following command:
from prophet import Prophet
Prior to version 1.0, the prophet library was called fbprophet...