HackerEarth Contest | Energy Sector | Machine Learning
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Updated
Oct 28, 2023 - Jupyter Notebook
HackerEarth Contest | Energy Sector | Machine Learning
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A business intelligence application that I built for client. This application is targeted to user with no statistical background.
This Shiny app analyzes coffee consumption by caffeine content and drink type, allowing users to visualize total caffeine intake per coffee chain.
Regression Application is an easy to use interactive dashboard for performing simple and multiple regression.
Shiny Application analyzing crime at University of Chicago
Through the process of onboarding, we help new talent find their place in the company, both in terms of job responsibilities as well as within organizational culture. During this process, the new hire is likely to become more and more emotionally and intellectually invested in not only their position but also in the company as a whole. During th…
NBA Player HUD RShiny Application
r programming, r-shiny, machine learning
Business Intelligence application for user that does not have any statistic background (Incompleted)
A R Shiny App for single-cell analysis
My R Shiny application and code for an assignment in which I was required to develop a R Shiny application using a housing data set.
This repository contains code base of my Master Thesis work named under "Pattern Detection in Tabular Data with shallow hierarchy: A Visual Analytics Case Study for Narrative Visualization"
A dashboard depicting the great battle of Dwight Schrute and the Computer | The Office
A simple method of modularizing tabs in Shiny Dashboard for easy access and management.
This RShiny app explores the cost of cocaine and heroin in the different countries over time.
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