Repository for Machine Learning academic project at the University of Utah
This code is written for the academic project of the course CS6350, Machine Learning at Utah.
[http://svivek.com/teaching/machine-learning/fall2016/]
Code written by Rajiv Mantena and Devi Ayyagari
This repository contains the code for the Intermediate report.
- Simple Perceptron, Average Perceptron and Aggresive update Perceptron have been written to run on the featurized Airline performance (and stock trend) dataset.
- Along with Perceptron, we have developed Winnow and Balanced Winnow classifiers as well.
Authors : http://rajivmantena.net | https://www.sci.utah.edu/people/devi.html