Time Series Analysis, Python, Analytics.
technique used to separate a time series into its underlying components, such as trend, seasonality, and noise. This can be useful for understanding the patterns in the data and for modeling each component separately. Trend: When data shows a long-term increase or decrease, this is referred to as a