What's so naive 'bout Naive Bayes Classifier?

Naive, Yet it is one of the very simple yet powerful and easy to implement algorithm used in Supervised learning mainly for classification problems. Through this blog, I intend to make y'all have a basic understanding of the Naive Bayes classifier and its applications and why is it called naive. Naive Bayes classifier is built upon three main fundamental theories which are Probababilty, Conditional Probability and Bayes theorem. I assume that my readers have knowledge of these if not you can find my blog on these over here. I will just try to give an overview of what is Baye's theorem because that is important to understand Naive Baye's theorem.