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SVM with Learning Using Privileged Information (LUPI) framework
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
Assignments for the Machine Learning course (COL774) at IITD
SVM implementation in python
Implements modified version of the Pegasos (Primal Estimated Sub-Gradient Solver for SVM) algorithm as well as Perceptron and Average Perceptron for comparison
Implementation of a support vector machine classifier using primal estimated sub-gradient solver in C++ and CUDA for NVIDIA GPUs
Performing sentiment analysis on tweets obtained from twitter.
This Repository consists of the solutions to various tasks of this course offered by MIT on edX
Classifying sentiments of tweets as positive or negative
This Repo has CSCI 567 Machine Learning coursework
Project 1 for the Machine Learning exam
Custom implementation of perceptron , average perceptron and PEGASOS with some utility tools to make a sentiment classifier on restaurant reviews
ENSAE Project - Stochastic Optimization and Automatic Differentiation for Machine Learning - SDCA