This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, and etc., which are simpler and easy to implement.

Machine Learning and Data Mining cheatsheet and example operations prepared in MATLAB

Apply and evaluate some basic machine learning algorithms on breast cancer prediction.

This project involved an interrogation of the SVM and Naive-Bayes algorithms with a marine classification data problem posed by Professor Dr. Amber Stubler. Dr. Stubler’s research is concerned with the marine community ecology of kelp and coral reef ecosystems, honing in specifically on Caribbean coral reef recruitment under different sedimentat…

A custom Naive Bayes (NB) Classifier for classifying spam and ham text files. Written in Matlab. You should also check my NB classifier in Python.

In this project I have extarcted 30 time and frequancy features from EEG signals (of left hand and right hand moving) in an espicific time window. Then using PCA i have decreased the features dimension to 10. Then I have quarried different methdos of ML: KNN(1,3,5,6), SVM(Linear kernel, Gaussian kernel), LDA, Naive bayes on different time windows.

This repository demonstrates the the comparison of Naïve Bayes and Random Forest models applied to the Red Wine Dataset from UCI.

Boiled egg problems (Solve with LDA, QDA, Naive Bayes Classifiers, decision tree, pruned decision tree)

Bernoulli Naive Bayes algorithm

KNN Algorithms, Naive Bayes, Classification Tree, PCA Implementations