Naive Bayes is a widely used classification algorithm. It is a supervised learning algorithm based on Bayes’ Theorem. The word naive comes from the assumption of independence among features. That is, if our input vector is (x1, x2,...,xn), then xi's are conditionally independent given y.
Part of course:
Naive Bayes algorithm and text classification
- Conditional Probability
- Deriving the algorithm
- Algorithm steps
- Scikit-learn implementation
- How to run this code on Google Colaboratory