Naive Bayes Classifier Tutorial Hand Calculation

Introduction & Importance

Naive Bayes Classifier is a simple yet powerful algorithm used for classification tasks. It’s based on Bayes’ theorem and is considered ‘naive’ because it assumes that the features are independent, which is often not the case in real-world scenarios.

For more information, refer to these authoritative sources:

• Naive Bayes Tutorial by Carnegie Mellon University
• Naive Bayes Classifier Explained by Edureka