This repository contains code and blog on how to build a Naive-Bayes Classifier(NBC) on text data without using any external modules i.e., to build from scratch in python. By using Naïve Bayes ...

Once you're satisfied with the model's performance, you can deploy it to make predictions on new, unseen text data. This code is a basic example of text classification using Multinomial Naive Bayes.

Naive Bayes classification is especially well suited to problems where the predictor variables are all categorical (strings). And, compared to neural network classifiers, naive Bayes classifications ...

Naive Bayes estimator is widely used in text classification problems. However, it doesn't perform well with small-size training dataset. We propose a new method based on Naive Bayes estimator to solve ...

Abstract: The purpose of the report is a comparative analysis of the Bernoulli and Multinomial Naive Bayes classifiers in text classification for machine learning. The conducted research demonstrates ...

This is an example of multiclass classification because the variable to predict, optimism, has three or more possible values. If the variable to predict has just two possible values, the problem would ...