Airline-Time Series Forecasting

Jasdeep Singh Monga

Employed ADF and Dickey-Fuller tests to confirm the stationarity of the time series by interpreting the p-value for each test with a threshold level of 5%.
Comprehensively analyzed various forecasting methods, including Holt Winters' method and SARIMAX, utilizing RMSE and MAPE metrics to evaluate performance, with SARIMAX achieving an RMSE of 26.52 and MAPE of 4.63.
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Posted Mar 31, 2024

Different time series forecasting models are used to forecast the number of passengers for the next twelve months.

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