Algorithms Explorer

Algorithms Explorer is a web application focused on showcasing various machine learning algorithms. It provides an interface to explore and learn about different algorithms used in real-world applications.

Overview

This project is in its early stages, aiming to present foundational machine learning algorithms. Each algorithm is categorized to help users navigate and understand its application in solving practical problems.

Features

• Algorithm Categories: Algorithms are organized into categories for easy exploration.
• Search Functionality: Quickly find specific algorithms by name.
• Future Updates: Planned enhancements include detailed algorithm descriptions and practical demonstrations.

Usage

• Explore different algorithm categories from the sidebar.
• Click on an algorithm to view basic details.
• Use the search bar to find algorithms by name.

Roadmap

• Phase 1 (Current): Basic presentation of machine learning algorithms.
• Phase 2 (Future): Adding detailed descriptions, code examples, and real-life use cases.
• Phase 3 (Future): Integration of interactive demonstrations and practical implementations.

Contributing

Contributions to enhance the project are welcome. Please fork the repository and submit pull requests with improvements.

Getting Started

To run the project locally:

1. Clone the repository.
2. Navigate into the project directory.
3. Install dependencies with npm install or yarn install.
4. Start the development server with npm start or yarn start.
5. Open http://localhost:3000/algorithms-to-life/ in your browser to view the application.

License

Distributed under the MIT License. See LICENSE for more information.

Contact

For questions or feedback, contact Ku pasva on Discord:

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Features

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