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Interactive Learning
Probabilistic classification with independence assumption. Naive Bayes is a beginner machine learning algorithm used for categorizing data into classes. Before learning Naive Bayes, you should understand: bayes-theorem, conditional-probability. Real-world applications include: Spam filtering, Sentiment analysis, Document classification. This is a foundational concept suitable for beginners.
Spam filtering
Sentiment analysis
Document classification
Interactive lesson with visualizations and practice problems
Part of the Naive Bayes lesson in Machine Learning