Naïve Bayes classifier is based on Bayes theorem and is used extensively in Machine Learning and other domains for classifying data. You could use a Naïve Bayes classifier when you have fewer training datasets and fewer features. Because with more amount of data, the accuracy of the classifier decreases.
Naïve Bayes is used in a number of technological applications such as text, news and document classification, spam filtering, face recognition, etc.
Learn Naïve Bayes through machine learning by joining the machine learning course from Intellipaat which offers you a training course of 32hrs and 7 guided projects within 64hrs to help you in gaining the required practical exposure.
Moreover, do watch our YouTube video on Machine Learning Algorithm to get you initiated.