Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet in Code: Holidays and Exogenous Regress

Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet in Code: Holidays and Exogenous Regress

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Interactive Video

Computers

11th - 12th Grade

Hard

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The lecture continues with building profit models for time series, focusing on incorporating holidays and exogenous regressors. It demonstrates creating a new profit model, M3, and adding country holidays for demonstration purposes. The lecture then explains adding exogenous regressors, including state and school holidays, and creating a new model, M4. The process involves dummy encoding categorical data and fitting the model with added regressors. The lecture concludes with forecasting and analyzing results, highlighting the importance of removing non-relevant days from the time series.

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OPEN ENDED QUESTION

3 mins • 1 pt

What new insight or understanding did you gain from this video?

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