Forecasting, Data Science, Python, Data Visualization, Machine Learning.
Load the data data <- AirPassengers # Fit SARIMA model fit <- auto.arima(data) forecasted <- forecast(fit, h = 12) autoplot(forecasted) + ggtitle("SARIMA Forecast") + xlab("Year") + ylab("Passengers") H3. SARIMA: Fact Check This method is an extension of the ARIMA method by adding seasonal