Forecasting, Data Science, Python, Data Visualization, Machine Learning.
Load the data data <- AirPassengers # ARIMA model fit <- auto.arima(data, seasonal = FALSE) forecasted <- forecast(fit, h = 12) autoplot(forecasted) + ggtitle("ARIMA Forecast") + xlab("Year") + ylab("Passengers") G3. ARIMA: Fact Check This method is the common method to forecast your data. It is