hard-margin-svm

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.

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.