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Time series is a string of statistical data objects in consecutive order. It can be practised on data that develop over time. Time series analysis can be utilized to discover how changes correlated with an assigned data point associated with other variables across the corresponding span. It is classified into two categories. These are;

  • The frequency field system- it covers Wavelet interpretation and spectral interpretation.
  • The time-domain approach -This process incorporates both the correlations cross and auto modes.

Time series prediction applies data based on past to prophesy planned projects.Time series analysis manages data and selects significant features and statistics.

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