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In this article, I will explain some basic functional programming for fitting multiple time series using R, particularly using purrr interface.

Time series involves data collected sequentially in time. In Feed Forward Neural Network we describe that all inputs are not dependent on each other or are usually familiar as IID (Independent Identical Distributed), so it is not appropriate to use sequential data processing. A Recurrent Neural Network (RNN) deals with sequence problems because their connections form a directed cycle. In other words, they can retain state from one iteration to the next by using their own output as input for the…