1REGRESSION MODELS
In this chapter, we’ll introduce regression functions. Such functions give the mean of one variable in terms of one or more others—for instance, the mean weight of children in terms of their age. All ML methods are regression methods in some form, meaning that they use the data we provide to estimate regression functions.
We’ll present our first ML method, k-nearest neighbors (k-NN), and apply it to real data. We’ll also weave in concepts that will recur throughout the book, such as dummy variables, overfitting, p-hacking, “dirty” data, and so on. We’ll introduce many of these concepts only briefly for the time being in order ...
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