Naive Bayes is a simple yet powerful classification algorithm based on Bayes’ Theorem. It's widely used in spam detection, sentiment analysis, and text classification. This post explains how it works, covers its main types (Gaussian, Multinomial, Bernoulli), and includes a Python implementation for beginners and data science learners.