Implementing the Naive-Bayes Machine learning Model

It is a classification technique based on Bayes’ theorem with an assumption of independence between predictors. A Naive Bayes classifier assumes that the presence of a particular feature in a class is unrelated to the presence of any other feature. Naive Bayesian model is easy to build and particularly useful for very large data sets.… Continue reading Implementing the Naive-Bayes Machine learning Model