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Adding Regressors to Facebook Prophet Forecasting Model
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Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well.
The video focuses on how to add a regressor to the Prophet Model.
Intro (0:00)
Get Data (0:48)
Load Data (1:38)
Create NFL Sunday function (2:15)
Applying function (5:10)
Create Prophet with Regressors (5:53)
Create Future Dataframe (7:17)
Forecasting (8:55)
Plotting (9:16)
Outro (10:57)
Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well.
The video focuses on how to add a regressor to the Prophet Model.
Intro (0:00)
Get Data (0:48)
Load Data (1:38)
Create NFL Sunday function (2:15)
Applying function (5:10)
Create Prophet with Regressors (5:53)
Create Future Dataframe (7:17)
Forecasting (8:55)
Plotting (9:16)
Outro (10:57)
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