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Naive Bayes is a supervised machine learning algorithm that is used for classification tasks. It is based on the idea of applying Bayes' theorem using strong (naive) independence assumptions between the features.
Software Design lab on building a classification model using the Naive Bayes Classifier supervised learning algorithm. Reads handwritten digits from 0-9 and writes back which digit is written.