Naive Bayes Classification: A probabilistic model that applies Bayes’ theorem assuming conditional independence among features, used extensively for its efficiency and interpretability.

Gaussian naive Bayes classification is a classical machine learning technique that can be used to predict a discrete value when the predictor variables are all numeric. For example, you might want to ...

Overview Understanding key machine learning algorithms is crucial for solving real-world data problems effectively.Data ...

Naive Bayes classification isn't used as much as it used to be because techniques based on neural networks are much more powerful. However, neural techniques usually require lots of data. Naive Bayes ...