Naive Bayes Algorithm
The naive Bayes algorithm, derived from the Bayes Theorem, is widely used in various fields like spam filtering, text classification, and recommendation systems.
This article aims to provide a detailed understanding of the Naive Bayes algorithm, its applications, working principles, types, advantages, and limitations. So, buckle up and get ready for an exciting journey into the world of Naive Bayes!
Introduction to Naive Bayes Algorithm
The Naive Bayes algorithm is a probabilistic classification technique that is based on Bayes’ theorem, named after the Reverend Thomas Bayes. It is known for its simplicity, efficiency, and remarkable accuracy in many real-world applications.
Whether you are classifying emails as spam or non-spam, predicting whether a movie review is positive or negative, or even recommending products to users, Naive Bayes has got you covered.
