Any data recorded at fixed interval of time over a certain period of time, is called time series. It is a stochastic process, i.e. the values are dependent on, and change with time. There are special techniques that are used for tackling such models.
This chapter contains the following topics:
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a. Key Terms b. Types of Time Series c. Features d. Autocorrelation
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Implementation in Python