MNIST Digit Classification - Machine Learning Implementation
Implemented a K-Nearest Neighbors classifier for handwritten digit recognition achieving 97%+ accuracy on the MNIST dataset. Applied systematic hyperparameter optimization using grid search and cross-validation techniques.
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Python, Scikit-Learn, NumPy, Pandas, Matplotlib