Skip to content
View lukabrown's full-sized avatar

Achievements

Achievement: Pull Sharkx2Achievement: YOLO

Achievements

Achievement: Pull Sharkx2Achievement: YOLO

Highlights

  • Pro
Block or Report

Block or report lukabrown

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
lukabrown/README.md
  • 👋 Hi, I’m Luka Brown! I am a full stack software engineer currently based out of Austin, Texas.
  • 👨‍🎓 Texas State May 2023. Bachelor's in Computer Science and minor in Applied Mathematics.
  • 👀 My main hobby is gaming, and I spend a lot of my free time playing with my friends. I love tennis and bowling as well!
  • 🌱 I’m currently learning AWS, Python as a microservice, and helping other devs through DevOps!
  • 📫 How to reach me: Send an email to [email protected]
  • 🌐 Check out my website! www.luka-brown.com

Pinned Loading

  1. Secure-Voting-System Secure-Voting-System Public

    Secure voting machine simulator. Please clone and modify the sample_size to test different sizes. This project uses the principles from TangleCV and DAGs to create some security and verification of…

    Python 2

  2. The-Deep-Below The-Deep-Below Public

    Mining game with massive map, bosses and minibosses, AI miners that move and fight back, and a nice shop and upgrade system to top it all off!

    C++ 1

  3. knn-regression knn-regression Public

    My personal implementation of the machine learning algorithm K-nearest-neighbors using euclidean distance between the wine dataset points.

    Jupyter Notebook 1

  4. Gradient-Boosting-Housing-Dataset Gradient-Boosting-Housing-Dataset Public

    Machine learning demonstration of the Gradient Boosting algorithm and it's effectiveness on a regression dataset of house prices.

    Jupyter Notebook 2