Autoregressive Models are a class of statistical models that analyze and predict time series data – basically a machine’s way of measuring and analyzing the correlation between different observations at different time instances. These models are used to forecast and make accurate predictions based on past trends. They are also used to identify patterns and trends, and for predictive modeling based on the underlying dynamics of data.
