Non-stationarity refers back to the evolving character of the data distribution as time passes. More exactly, it can be characterised being a violation from the Demanding-Feeling Stationarity condition, outlined by the subsequent equation:A solitary linear layer is adequately sturdy to model and forecast time series data provided it's been properly