Jumped to the homework because I'm running out of time. Mostly pretty straightforward, but measuring distances for knn was a royal pain on a video screen.

One tip on regression: when I went back to the lecture, I thought the denominator for \(w_1\) was \(M \sum y_i^2 - (\sum x_i)^2\) It is of course \(M \sum x_i^2 - (\sum x_i)^2\).

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