Handwritten Digit Recognition using Support Vector Machines (SVM)

This project applies Support Vector Machines (SVM) to classify handwritten digits. SVM is a powerful classifier that separates data into distinct categories by finding the optimal hyperplane. This method is effective for both linear and non-linear classification tasks.