This repository provides a Python implementation of Support Vector Machines (SVM) from scratch using a quadratic solver like CXPY. The implementation includes both soft margin and hard margin SVM algorithms.

This repository contains additional code and experiments from the COMPSCI 361 Machine Learning course. It focuses primarily on implementing and testing models using K-Nearest Neighbours (KNN), Support Vector Machines (SVM), and Neural Networks.