Forecast-the-number-of-passengers-for-the-next-twelve-months

With the data on the number of passengers that have travelled with the airline on a particular route for the past few years. Using this data, want to forecast the number of passengers for the next twelve months.

• To capture the level, trend and seasonality in the time series with different smoothing techniques.
• Also build the different Auto-Regressive Models (ARIMA, ARMIAX, SARIMA, SARIMAX)
• Selecting the best model based on RMSE and MAPE.

Click Here for the detailed python file.