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Handwritten-digits-and-Face-classifer

AI course project

• Use Naive Bayes, MIRA and Perceptron classifiers

• Designed and Implemented 4 features including edge detection, contiguous regions, top-bottom pixel density and symmetry for digits and faces dataset.

• Accomplished 82% prediction accuracy for digits and 92% accuracy for faces detection

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