Time Series Analysis, Time Series Forecasting, Time Series Model, Machine Learning, Data Science.
not growing or shrinking. Mean & Variance constant: The average distance of the data points from the zero line is not changing. AutoCorrelation Constant: How each value in time series is related to its neighbors stays the same. ◦ Types of stationary: Strong stationary: Entire distribution of data