Digit Recognition with PCA for Feature Reduction

This project applies Principal Component Analysis (PCA) for feature reduction in digit recognition. PCA helps reduce the dimensionality of the input data, making the classification task more efficient by eliminating redundant features and focusing on the most important ones.