📩 SMS Spam Classification (Naive Bayes) This project classifies SMS messages as Spam or Ham (Not Spam) using the Multinomial Naive Bayes algorithm. The model is built with scikit-learn and trained on ...

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

The future of data classification isn't just about categorizing data—it's about understanding it in all its complexity and context.

You need to know where your data is, what it is, its governance requirements and relationship to the rest of your data. We look at data classification and how AI can help ...

The hierarchical Bayesian modeling strategy was employed to represent the underlying hierarchical structure of the data and to account for sources of heterogeneity inherent to the observed data.

Dr. James McCaffrey of Microsoft Research says the main advantage of using Gaussian naive Bayes classification compared to other techniques like decision trees or neural networks is that you don't ...

General naive Bayes classification is a classical machine learning technique to predict a discrete value. There are several variations of naive Bayes (NB) including Categorical NB, Bernoulli NB, ...