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Building a Time Series Analysis Application

April 9, 2021

A complete time series analysis application covers the steps in a Data Science cycle from accessing to transforming, modeling, evaluating, and deploying time series data. However, for time series data the specific tasks in these steps differ in comparison to cross-sectional data. For example, cross sectional data are collected as a snapshot of one object at one point of time, whereas time series data are collected by observing the same object over a time period. The regular patterns in time series data have their specific terminology, and they determine the required preprocessing before moving on to modeling time series.

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