MNIST Digit Classification - Machine Learning Implementation

Python, Scikit-Learn, NumPy, Pandas, Matplotlib

- Performed comprehensive data preprocessing and exploratory analysis - Executed grid search optimization on n_neighbors and weights hyperparameters - Applied 3-fold cross-validation for robust model selection - Created detailed performance analysis with confusion matrices and per-class metrics - Implemented error analysis to identify model limitations and improvement opportunities