This project implements the Seasonal ARIMA model (SARIMAX) in forecasting the champagne sales for the next two years based on historical data. Steps involved include tests for stationarity, differencing to make the model stationary and using PACF and ACF plots to determine the AR and MA lags.
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shetty13/Time-Series-Forecasting-of-seasonal-data-using-SARIMAX
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