Implementation of multinomial logisitic regression, Weighted Logistic Regression, Bayesian Logistic Regression, Gaussian Generative Classification and Gaussian Naive Bayes Classification from scratch in MATLAB

Implemented Kernel SVM using Quadratic Programming and Stochastic Gradient Descent

Solutions to Coursera Machine Learning course ( Stanford University) by Andrew Ng.

This algorithm is part of a research on Multiclass Imbalanced Domains

Implementation of various Machine Learning (ML) Algorithms learned in the Machine Learning course authorised by Stanford University @ Coursera

Multiclass Image Classification using Bag-of-words model developed after feature extraction and clustering.

Exercises I solved for the Machine Learning course at Coursera by Andrew Ng.

DCIA Source Code