This article assumes you have intermediate or better programming skill with Python or a C-family language but doesn't assume you know anything about naive Bayes classification. The complete demo code ...

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 ...

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 ...

There are several tools and code libraries that you can use to perform naive Bayes classification. The scikit-learn library (also called scikit or sklearn) is based on the Python language and is one ...

Naïve Bayes algorithm is a supervised learning algorithm, which is based on Bayes theorem and used for solving classification problems. It is mainly used in text classification that includes a ...