This project makes use of the ARIMA model in forecasting the number of air passengers for the next ten years. It involves checking the time series first for stationarity using the Augmented Dickey-Fuller test and then using the PACF and ACF plots to determine the AR and MA components.
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shetty13/Time-Series-Forecasting-using-ARIMA
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