From the course: Data Science Foundations: Data Mining in R

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From the course: Data Science Foundations: Data Mining in R

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MLP

- [Instructor] So much of the progress in data science has been attributable to the rise of neural networks, sophisticated algorithms that mimic in certain ways the functioning of the biological brain by having lots of input going through lots of internal processing and coming to a final conclusion. And while most neural networks are associated with classification algorithms, they also work very well with time series data. And one of these, the multi layer perceptron kind of neural network is particularly well adapted to the data that we've been using for demonstrations in this chapter. Let's start by loading a few packages, including this one, nnfor, Neural networks for time series data. You're going to need to set the random seed for this one, because randomness plays a big role in some of these procedures. This makes it repeatable, so we'll get the same results. We're going to use the Airpassengers data that's…

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