Unfolding Naive Bayes From Scratch

I have tried to keep things simple and in plain-English. The sole purpose is to deeply and clearly understand the working of a well know Text Classification ML Algorithm (Naïve Bayes) without being trapped in the gibberish mathematical jargon that is often used in the explanation of ML Algorithms which obviously lands you nowhere except for being relying on ML API's with almost zero understanding of how the things actually work! A complete clear picture of the Naïve Bayes ML Algorithm with all its mysterious mathematics demystified plus a concrete step taken forward in your ML voyage! The Grand Grand Grand Milestone # 3: The Testing Phase --Where Prediction Comes into the Play! Naive Bayes is one of the most common ML algorithms that is often used for the purpose of text classification.