Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

This MATLAB code implements the binary Grass hopper optimization algorithm to select the features and train with KNN

My work during the research internship "Automotive Control using Surface Electromyography" at The University of Tokyo, Jun.-Sep. 2020

A KNN based program to classifying animal sounds in MATLAB.

Classification of cervical cancer using SVM is done on Herlev Pap Smear

An Evolutionary Pentagon Support Vector Finder Method

Find best features to be used with your dataset using forward selection, backward elimination, greedy backwards and forward and pruned forward selection.

Using various image categorisation algorithms with a set of test data - Algorithms implemented include k-Nearest Neighbours(kNN), Support Vector Machine (SVM), then also either of the previously mentioned algorithms in combination with an image feature extraction algorithm (using both grey-scale and colour images). The resulting accuracy and rel…

A program for classification of fruits based on KNN classifier.

This experiment is a simple demonstration of implementing k-Nearest Neighbors classifier on MNIST data set. After loading the data set, k-Nearest Neighbors classifier, which is written as a MATLAB function, tries to read a random number, using the train data set.

Runtime Optimization of Widrow-Haff Classification Algorithm Using Proper Learning Samples

Scripts for machine learning algorithms in MATLAB/Octave and python

K-Nearest Neighbors Classifier

Human Emotion Recognition using Machine Learning - MATLAB project with proper description/ comments and ways to improve the results for your data base.

A simple program for classification of fruits on basis of color using KNN.

Pitch Detection comparsion with Machine learning Algorithms

Comparison of the performance of knn and random forest

Test my MNIST data using kNN