Handwritten Digit Classification System
تفاصيل العمل
Developed a system to classify handwritten digits (0-9) using Decision Trees, Neural Networks, and Genetic Algorithms. Applied Principal Component Analysis (PCA) for dimensionality reduction, improving model efficiency and accuracy. Evaluated model performance using comprehensive datasets and deployed the best-performing model for practical applications.
مهارات العمل
