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Rohan Sirohia 

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Hi, I am Computer Science student at Vellore Institute of Technology exploring Data Science and Machine Learning. I am passionate about coding and development of Artificial Intelligence. I am also interested in Business Analytics.

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Rohan Sirohia | Linkedin Rohan Sirohia | Twitter Rohan Sirohia | Instagram Sirohia | Gmail

Rohan Sirohia's Projects

air-doodle icon air-doodle

The project replicates the sketch made by a particular object in the environment and displays it on the screen. This was achieved using OpenCV

covid-19 icon covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

docker-colab-local icon docker-colab-local

A Docker container to act as a local runtime for Google Colab or private jupyter server with BERT preinstalled

end-to-end-time-series icon end-to-end-time-series

This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJd6GrQvhAtpBK

eventie icon eventie

A platform to create, register and mark attendance for events in general.

file-declutter-app icon file-declutter-app

This python script uses the os module to traverse through all directories and sub directories specified under a root directory and removes all the unwanted filetypes. The program can recursively traverse through all directories under one directory.

file-under-common-url-downloader- icon file-under-common-url-downloader-

It is often seen that many tutorial and lecture pdfs tend to have only a small change among their URLs. To relieve one from the trouble of downloading each PDF separately by editing each URL manually, the program edits it for us and downloads all the common files onto a single folder in the python file's location

java-competitive icon java-competitive

A collection of codes/resources for using Java for Competitive programming

kaggle-titanic icon kaggle-titanic

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

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