Unix Shell in C | Support for built-in commands, output redirection, parallel mode, batch mode, consecutive commands etc.

Predicting the Stage of Breast Cancer - M (Malignant) and B (Benign) using different Machine learning models and comparing their performance.

Software RAID Manager | C | Supports RAID 0, 1, 4, 5 and 10 | Capable of normal mode operation (no failures), working with one failed disk and restoring normal mode with a new disk

A Minimum Working Example of the Dissertation Template for UW-Madison.

predict whether the tumor is Malignant or Benign.

K means clustering for breast-cancer-wisconsin.data from scratch

This repository provides a JSON data generator inspired by Wisconsin Benchmark. Advanced features such as variable length strings using various size distributions, nullable/optional attributes, skewed attributes, etc. are added as well.

Resources, documentation, and software for sumo-roboticists

Comparison of Different Machine Learning Classification Algorithms for Breast Cancer Prediction

A wrapper library to get Covid-19 data from Wisconsin's Department of Health

Pre-processed election results for Wisconsin elections

An app to help small businesses in Wisconsin electronically file their W2s (efw2) to the state.

Kodi / XMBC / Firestick audio addon for the Freethought Radio podcast from the Freedom From Religion Foundation

Who is more likely to pay higher costs for hospital services in the state of Wisconsin?

Analysis and visualization of Covid data in Wisconsin.

An interactive data visualization of refugee resettlements in Wisconsin from 2002-2016.

Website for BadgerHacks hackathon.

Distract Me is an android application that allows you to be distracted for some time. It distracts you by showing you news with a very detailed filter; as well as saving articles for later viewing. Developed this app for a quick distraction, when working on other projects. It fetches data from the News API

Implemented KNN algorithm for Wisconsin Breast Cancer Dataset to find out the best neighbor count and predicting the chances of the breast cancer based on the results of current data