Implementation of multinomial logisitic regression, Weighted Logistic Regression, Bayesian Logistic Regression, Gaussian Generative Classification and Gaussian Naive Bayes Classification from scratch in MATLAB
- Updated
Apr 8, 2020 - MATLAB
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
Exercises I solved for the Machine Learning course at Coursera by Andrew Ng.
DCIA Source Code
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.
Multi-class classification of Diabetic Retinopathy using SVM and ANN in MATLAB.
Add a description, image, and links to the multiclass-classification topic page so that developers can more easily learn about it.
To associate your repository with the multiclass-classification topic, visit your repo's landing page and select "manage topics."