Step beyond 2‑D lines into n‑D hyperplanes. This post walks you through soft‑margin SVMs, inequality‑constrained optimisation, KKT conditions, primal‑to‑dual conversion, and why only a handful of support vectors end up steering the whole classifier—your cheat‑sheet to scaling SVMs without losing your cool.