Naive Bayes classifier

The Naive Bayes classifier is a statistical method used for categorizing data based on probabilities. It assumes that the presence of a feature in a category is independent of other features, which simplifies calculations. For example, in email filtering, it can determine whether a message is spam or not by considering the likelihood of certain words appearing in spam versus non-spam emails. Despite its simplicity, Naive Bayes is effective for many tasks like text classification and sentiment analysis, providing quick and efficient predictions based on learned patterns from existing data.