/Handwritten-Digit-Recognition-Centroids

This Python script demonstrates the process of training a classifier to recognize handwritten digits using the MNIST dataset. The script utilizes centroid-based feature extraction, splits the data into training and testing sets, employs a classifier, and evaluates its accuracy.

Primary LanguageJupyter Notebook

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