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A Non-stationary Process is a Statistical Process whose properties, such as Mean And Variance, change over time, making it unpredictable and challenging to model. Understanding and identifying non-stationarity is crucial for accurate Time Series Analysis and forecasting, as it necessitates Specific Techniques like differencing or transformation to achieve stationarity.
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