naive-bayes

Naive Bayes is a classification algorithm based on Bayes' theorem. It is simple and fast, and it is often used as a baseline for comparison with other more complex algorithms.

This use a probabilistic approach (Bayes' theorem) to classify data. It assumes that the presence of a particular feature in a class is unrelated to the presence of any other feature.

Examples:

• Spam detection
• Sentiment analysis
• Document classification

The result of the algorithm is a table of probabilities that can be used to make predictions.

References:

Naive Bayes Classifier - Wikipedia Naïve Bayes Classifier - Fun and Easy Machine Learning - Augmented AI Channel