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Kaushal Mamgain photo

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followers: 1.0 following: 0.0 repos: 17.0 gists: 0.0

Name: Kaushal Mamgain

Type: User

Company: Research Assistant

Bio: I am a graduate student at University of Illinois at Chicago, majoring in computer science. Motivated to work in Data Science and Machine Learning.

Location: Chicago, Illinois, US

Kaushal Mamgain's Projects

8085-emulator icon 8085-emulator

This code is successfully able to run 8085 assembly language codes and give the status of all types of registers in the memory, like flag register, general purpose register, etc.

knn-from-scratch icon knn-from-scratch

Implementation of K-Nearest Neighbour Algorithm on iris dataset from scratch.

lemon-detection icon lemon-detection

This code checks if a participant is successfully able to complete a lemon and spoon race.

neumorphism icon neumorphism

Neumorphism designed Jekyll theme for personal websites, portfolios and resumes.

neural-networks icon neural-networks

This contain the work that I did as a part of the course I took in my masters degree

node-hello-world icon node-hello-world

Created for toolchain: https://console.bluemix.net/devops/toolchains/cdf5fb7a-7e08-483c-bd7b-e2d96ee05042

object_detection_video_feed icon object_detection_video_feed

Coded in Python, this is one of my individual projects I have was working on during the summer. I used TensorFlow object detection API to perform object detection on live video feed from your webcam.

search-engine icon search-engine

Implementation of a search engine using a vector space model.

searching-techniques-in-ai icon searching-techniques-in-ai

This repository contains codes for various searching techniques in Artificial Intelligence to make intelligent agents.

soccer-webapp icon soccer-webapp

I worked on this projects to create a front end application for accessing a soccer database and give insights on different teams and players within the league.

twitter-sentiment-analysis icon twitter-sentiment-analysis

I try to implement a code that would generate a sentiment score for each tweet in the corpus on the basis of the sentiment score for each word.

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