How is time series different from the usual regression problem | datascienceinfo

How is time series different from the usual regression problem?

The principle behind causal forecasting is that the value that has to be predicted is dependant on the input features (causal factors). In time series forecasting, the to be predicted value is expected to follow a certain pattern over time.