Forecasting, Data Science, Python, Data Visualization, Machine Learning.
modeling various types of time series data How: By combining autoregressive, differencing, and moving average components G1. ARIMA: Python from statsmodels.tsa.arima.model import ARIMA # Fit ARIMA model model = ARIMA(data['Passengers'], order = (5, 1, 0)) fit = model.fit() # Forecast forecast =