SVM with Learning Using Privileged Information (LUPI) framework

SVM classifier using PEGASOS algorithm.

Implemented and compared three types of linear classifiers to use for sentiment analysis of Amazon product reviews.

SVM trained by the PEGASOS Stochastic Subgradient Descent algorithm

Implements modified version of the Pegasos (Primal Estimated Sub-Gradient Solver for SVM) algorithm as well as Perceptron and Average Perceptron for comparison

Assignments for the Machine Learning course (COL774) at IITD

SVM implementation in python

This Repository consists of the solutions to various tasks of this course offered by MIT on edX

Performing sentiment analysis on tweets obtained from twitter.

Implementation of a support vector machine classifier using primal estimated sub-gradient solver in C++ and CUDA for NVIDIA GPUs

Classifying sentiments of tweets as positive or negative

Gradient based solver for Support Vector Machines (SVM)

Application of SVM algorithm to MNIST-13 dataset

Modified SVM algorithm called Pegasos implemented with Python

This Repo has CSCI 567 Machine Learning coursework

Custom implementation of perceptron , average perceptron and PEGASOS with some utility tools to make a sentiment classifier on restaurant reviews

Parallel Implementation of Pegasos SVM for IPSC Project

ML notebooks to learn inner workings of ML

ENSAE Project - Stochastic Optimization and Automatic Differentiation for Machine Learning - SDCA

Project 1 for the Machine Learning exam