svm from sklearn for the support vector machine model. accuracy_score from sklearn.metrics for evaluating model accuracy. Load the digits dataset using load_digits() function and store it in the ...

This project implements a Support Vector Machine (SVM) from scratch using Python and NumPy. SVM is a powerful supervised machine learning algorithm used for classification and regression tasks. The ...