Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet in Code: Fit, Forecast, Plot

The video tutorial explains how to use the Prophet library for time series forecasting. It covers data preparation, creating a Prophet instance, fitting the model, and making predictions. The tutorial also discusses analyzing forecast results, plotting forecasts, and refining the model by excluding days when the store is closed. Key components like trend, seasonality, and prediction intervals are explored, with a focus on improving model accuracy and interpretation.

How does the model handle predictions for days when the store is closed?

What changes were observed in the weekly component after excluding closed days from the data?

What is the impact of the Christmas holiday on the yearly component of the model?