Complement Nave Bayes It was designed to correct the severe assumptions made by Multinomial Bayes classifier. This kind of NB classifier is suitable for imbalanced data setsBuilding Nave Bayes ClassifierWe can also apply Nave Bayes classifier on Scikit-learn dataset. In the example below, we are...
Naive Bayes is a probabilistic technique for constructing classifiers. The characteristic assumption of the naive Bayes classifier is to consider that the value of a particular feature is independent of the value of any other feature, given the class variable....
Naive Bayes Algorithms in Machine Learning - Explore the Naive Bayes algorithms used in machine learning, their types, applications, and how they work with real-world examples.