Stationarity, Differencing and Autocorrelation
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In this lesson
Most classic forecasting models assume the series is stationary: its average and spread don’t drift over time. Real data almost never is. Learning to make it stationary is the key step before ARIMA.
🎬 Taming a wandering series
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