Detailed theoritical explanation of Naive Bayes theorem. And then implemented it from scratch in Python. With the help of the classifier worked on Spam Email Detection. read here
- Got a good understanding of Bayes' theorem,
- Cleared my confusion about likelihood, prior, and posterior.
- Probabilistic classifiers
- Bayesian Network Model: Naive Bayes model
- Gaussian Distribution, Log normal Distribution
- Lemmatizing
- The MultinomialNB class of scikit-learn API