Time series can be defined as “data of the same entity collected on regular intervals of time”. An example is the hours of sleep (data) for each day (interval of time).
Time series analysis is different from a simple regression problem because datapoints in the time-series are dependent on previous points, and because of that our model should integrate that dependency to better model the series.
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