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 ...

This repository contains my personal journey and practical implementations based on the book Imbalanced Classification with Python by Jason Brownlee. The goal of this project is to document my ...

The code here (in file tsetlin_machine_binary.py) refactors the more-or-less official Tsetlin binary classification demo at github.com/cair/TsetlinMachine/tree/master ...

In this first article about text classification in Python, I'll go over the basics of setting up a pipeline for natural language processing and text classification. I'll focus mostly on the most ...

Suppose you have a collection of digital photos you took on a trip to a zoo. You want to programmatically classify each photo as one of the 100 different kinds of animals you photographed: "aardvark," ...

You can find the complete code and data for this tutorial on my GitHub repository. If you prefer a quick overview, you can refer directly to the notebook, which contains all the code with concise ...