Handwriting Classification: Machine learning models for accurately classifying 10 handwritten letters. Dataset contains 230 samples per letter. Utilizes PCA and t-SNE for dimension reduction, and includes code for preprocessing, model training, and evaluation.
Handwriting Classification: Machine learning models for accurately classifying 10 handwritten letters. Dataset contains 230 samples per letter. Utilizes PCA and t-SNE for dimension reduction, and includes code for preprocessing, model training, and evaluation.