Naive Bayes Tutorial for Machine Learning
Last Updated on August 12, 2019 Naive Bayes is a very simple classification algorithm that makes some strong assumptions about the independence of each input variable. Nevertheless, it has been shown to be effective in a large number of problem domains. In this post you will discover the Naive Bayes algorithm for categorical data. After reading this post, you will know. How to work with categorical data for Naive Bayes. How to prepare the class and conditional probabilities for a Naive […]
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