Data Science, Machine Learning, Unsupervised Learning.
patterns in time-series data to forecast future trends. ARMA model is represented as an ARMA(p,q), where p represents the order of the autoregressive component and q represents the order of the moving average component. The general form of the ARMA model equation could be represented as: Y(t) = c +