Introduction
Introduction to Naive Bayes, a probabilistic algorithm ideal for classification tasks.
Theory
Explore the theoretical background of Naive Bayes, including Bayes' Theorem and independence assumptions.
scikit-learn Example
Simplify Naive Bayes implementation using scikit-learn for fast and efficient classification.
TensorFlow Example
Implement Naive Bayes classifiers using TensorFlow with practical coding examples.
PyTorch Example
Learn how to build Naive Bayes models in PyTorch, focusing on practical applications.
Common Mistakes & Best Practices
Discover common errors in Naive Bayes and learn best practices to improve accuracy.
Comparison with Other Algorithms
Compare Naive Bayes with other classifiers to see where it excels and where it falls short.