Q12: Explain Naïve Bayes Classification Algorithm with a suitable example.

Introduction Naïve Bayes is a simple yet powerful probabilistic classification algorithm based on Bayes’ Theorem. It assumes that the features are conditionally independent given the class label. Despite its ‘naïve’ assumption, it performs well in various real-world scenarios like spam detection, sentiment analysis, and document classification. Bayes’ Theorem Bayes’ Theorem is the foundation of the […]

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