mrabhishekchauhan
I am a Machine Learning Enthusiast and want to contribute to the ideas of the future
Ather Energy Private LimitedDallas
Pinned Repositories
equivariant_grasp_site
Cayman is a Jekyll theme for GitHub Pages
hello-world
starting with github
js
js code
ML-Project-Personal-Key-Indicators-of-Heart-Disease
In this project, we utilized the 2020 annual CDC survey data of 400K US adults to create models that predict the chance of developing heart disease. Our dataset included important markers such as high blood pressure, high cholesterol, smoking, diabetes, obesity, physical activity, and alcohol use.
Morris-Variant-AXC210189
Nine Men’s Morris is a board game between two players: White and Black. The Morris Game Variant is a variant of Nine Men’s Morris game. This repository implements the variant.
Ranking-Online-Reviews-on-E-commerce-Websites
Ranking the online reviews about products on e-commerce websites. The algorithm looked at Grammar Analysis, Sentiment Analysis, Credibility Analysis, Relevance Analysis, Authenticity Analysis and the age to compute a cumulative weight for each review. This score can be used to display relevant reviews to a user browsing the product
SADVR
This is the final prototype for CS6334 Virtual Reality course, developed by Team 4 - S.A.D.V.R. This project is designed to help users learn to diagnose and fix problems in a spacecraft using Virtual Reality.
Sentiment-Analysis-on-Twitter
Working on project to achieve Sentiment Analysis on twitter using SVM, Maximum Entropy classifier and Naïve Bayes. The aim is to model and track the public sentiment on twitter on the domain of Budget 2018
Sentiment-Analysis-twitter-phase-2
Making use of n-gram features to achieve Sentiment Analysis on twitter using Maximum Entropy classifier, Decision tree and Naïve Bayes. The aim is to model and track the public sentiment on twitter based on the domain of Annual Budget-2018
ToDoApp
To build an applcation that creates a to-do list
mrabhishekchauhan's Repositories
mrabhishekchauhan/Ranking-Online-Reviews-on-E-commerce-Websites
Ranking the online reviews about products on e-commerce websites. The algorithm looked at Grammar Analysis, Sentiment Analysis, Credibility Analysis, Relevance Analysis, Authenticity Analysis and the age to compute a cumulative weight for each review. This score can be used to display relevant reviews to a user browsing the product
mrabhishekchauhan/equivariant_grasp_site
Cayman is a Jekyll theme for GitHub Pages
mrabhishekchauhan/hello-world
starting with github
mrabhishekchauhan/js
js code
mrabhishekchauhan/SADVR
This is the final prototype for CS6334 Virtual Reality course, developed by Team 4 - S.A.D.V.R. This project is designed to help users learn to diagnose and fix problems in a spacecraft using Virtual Reality.
mrabhishekchauhan/Sentiment-Analysis-on-Twitter
Working on project to achieve Sentiment Analysis on twitter using SVM, Maximum Entropy classifier and Naïve Bayes. The aim is to model and track the public sentiment on twitter on the domain of Budget 2018
mrabhishekchauhan/Sentiment-Analysis-twitter-phase-2
Making use of n-gram features to achieve Sentiment Analysis on twitter using Maximum Entropy classifier, Decision tree and Naïve Bayes. The aim is to model and track the public sentiment on twitter based on the domain of Annual Budget-2018
mrabhishekchauhan/ToDoApp
To build an applcation that creates a to-do list