Gauss Naive Bayes in Python From Scratch.

C# based experiments in Bayesian classification

Project involved the analysis of a covid-19 dataset, applying bayes theorem to estimate probabilities and using KNN ML algorithm to train a model and make predictions based on the data

interesting assignments on machine learning

Classification of image pixel into 2 classes using Baye's Decision Rule

A place for DS mini projects part of IC272

Code for UiA Learning Systems Course, including Tsetlin Machines and Bayesian Networks. 🧑‍🔬

The files here are meant to be practical and flexible in use.

This repository has been created just for warm-up in machine learning and there are my simulation files of UT-ML course HWs.

Using personal information and income range data from the 1994 US Census database, applied naive Bayes classifier and linear discriminant analysis classifier to classify personal income ranges. Through examples, explained the implementation process of the income classification model and the segmentation model.

IFT3395/6390 Machine learning : study and implementation of different bayes density estimation and bayes classification