Project Overview This project involves implementing a Naive Bayes classifier from scratch to classify instances in the play_tennis.csv dataset. The goal is to predict whether a game of tennis will be ...

This jupyter notebook contains the main code for implementing Naive bayes. helper.py: This python file contains helper functions( finding frequency of a particular word, cleaning the text) We get ...

Naive Bayes classification is a machine learning technique that can be used to predict the class of an item based on two or more categorical predictor variables. For example, you might want to predict ...

In the below code block we will initialize the Naive Bayes Classifier and fit the training data to it. The below-given code block will generate a confusion matrix from the predictions and the actual ...