KU Hackfest 2023 - Decentralized Approach to Machine Learning

Welcome to the GitHub repository for the KU Hackfest 2023 Federated Learning project. In this repository, we explore the fascinating world of Federated Learning by applying it to cardio-related CSV data. This project is designed to showcase the power of machine learning in a collaborative, decentralized manner.

Table of Contents

• About the Project
• Getting Started
  • Prerequisites
  • Installation
• Contributing
  • Fork the Repository
  • Clone the Repository
  • Create a Branch
  • Make Changes
  • Commit Your Changes
  • Push to Your Fork
  • Open a Pull Request
• License

About the Project

Federated Learning is an emerging approach to training machine learning models across decentralized edge devices while keeping data local. This project focuses on applying Federated Learning techniques to cardio-related CSV data. We aim to develop a model that can predict cardiovascular health without centralizing sensitive medical information.

Getting Started

Prerequisites

Before you begin, ensure you have met the following requirements:

• Python 3.x installed on your system.
• Virtual environment (optional but recommended).

Installation

1. Clone the Repository:

   git clone https://github.com/your-username/ku-hackfest-2023.git

Replace your-username with your GitHub username.

Change Directory

Navigate to the project directory using the following command:

	cd ku-hackfest-2023

Contributing

We welcome contributions to make this project better. To contribute, follow these steps:

1. Fork the Repository: Click the "Fork" button in the upper right corner of this repository on GitHub. This will create a copy of the repository in your GitHub account.

2. Clone the Repository: Clone your forked repository to your local machine:

   git clone https://github.com/your-username/ku-hackfest-2023.git

`` Replace your-username with your GitHub username.

3. Create a Branch: Create a new branch to work on your feature or bug fix: git checkout -b feature-name Replace feature-name with a descriptive name for your contribution.

4. Make Changes: Make your desired changes in the project code.

5. Commit Your Changes: Commit your changes with a descriptive commit message:

   bashCopy code

   git commit -m "Add feature or fix: Description of your changes"

6. Push to Your Fork: Push your changes to your GitHub fork:

   bashCopy code

   git push origin feature-name

   Replace feature-name with the branch name you created earlier.

7. Open a Pull Request: Go to the original repository and click the "New Pull Request" button. Follow the on-screen instructions to create a pull request.

License

This project is open source and available under the MIT License. You are free to use, modify, and distribute this code as per the terms of the license.

We look forward to your contributions and hope you find this project exciting and educational!