Ice Core Regression — kNN, Kernels, Basis Functions, and Regularization | Harvard CS181 Assignment 1
HW1 uses an 800,000-year ice-core temperature dataset across four problems: kNN and kernel regression, a geometric proof of least squares, basis-function regression, and a probabilistic derivation of ridge and LASSO, ending with a coordinate-descent LASSO implementation.