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Used to classify 28 x 28 pixel images as a digit (0 - 9) by implementing a naive Bayes classification model

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Naive Bayes Classifier

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A handwriting identifier trained to identify a 28 * 28 pixel image using a Naive Bayes classification model. Given training data of n x n size, can be used to identify images of n x n size. On 28 x 28 images, achieved upwards of 70% correct identification

Author: Aaron Alberg - [email protected]

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Used to classify 28 x 28 pixel images as a digit (0 - 9) by implementing a naive Bayes classification model

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