y <- (x-3)^3 + 3*x - .25*(x^2 * (x-3)) + rnorm(n=10000, mean=0, sd=3) dat <- data.frame(x = x, y = y) One of our most fundamental goals as data scientists is to produce predictions that are *good*. In ...
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