Harvard CS181 HW1: Ice Core Regression — Linear, Kernel, and Neural Nets in One Assignment
HW1 uses an 800k‑year ice‑core temperature dataset to implement three regression models (OLS, RBF kernel, MLP) and compare them on the same data, laying the groundwork for later classification and deep‑learning assignments.