Hello everyone,
I thought to post an article on Machine learning.
There are supervised classifiers which are used to classify test data in some class. For example, seeing an image if you want to predict whether it is cat or dog image. Another example would be reading an email if you can say whether it is spam or legitimate mail.
Naive Bayes classifiers are famous supervised and probabilistic classifier which is based on Bayes Theorem. Given some events, it tries to predict the probability of occurrence of certain event or outcome. Naive Bayes became very popular in case of text classification.
A detail tutorial of Naive Bayes with a theoratical example as well as validation of the same example with python implementation has been described here in this blog (maintained by me).
Thank you.