Guassian Naive Bayes Classifier

The Naive Bayes classifiers are working based on the Bayes’ theorem, which describes the probability of an event, based on prior knowledge of conditions be related of conditions to the event. It is a very simple and fast classifier and works sometimes very good, and even without much effort you can get a okay accuracy.

Steps:

  1. Clone the project
  2. run following commands i) pipenv install ii) pipenv install pandas iii) pipenv install xlrd iv) pipenv shell v) python .\GNB_classifier.py