Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/tushar2704/applied-ai-playground

This repository serves as a comprehensive collection of resources and projects for Applied Artificial Intelligence (AI). Whether you're an AI enthusiast, a data scientist, or a developer looking to explore practical applications of AI, this repository aims to provide you with valuable materials and hands-on projects to deepen your understanding.
https://github.com/tushar2704/applied-ai-playground

artificial-intelligence data data-science machine-learning machine-learning-algorithms

Last synced: 19 days ago
JSON representation

This repository serves as a comprehensive collection of resources and projects for Applied Artificial Intelligence (AI). Whether you're an AI enthusiast, a data scientist, or a developer looking to explore practical applications of AI, this repository aims to provide you with valuable materials and hands-on projects to deepen your understanding.

Awesome Lists containing this project

README 

        
# Applied-AI-Playground



Welcome to the Applied-AI-Playground! 🚀



This repository serves as a comprehensive collection of resources and projects for Applied Artificial Intelligence (AI). Whether you're an AI enthusiast, a data scientist, or a developer looking to explore practical applications of AI, this repository aims to provide you with valuable materials and hands-on projects to deepen your understanding and enhance your skills in the field of Applied AI.



## Features



- 📚 Resource Library: Explore a wide range of curated resources including articles, tutorials, papers, books, and videos, covering various domains of Applied AI such as computer vision, natural language processing, machine learning, deep learning, and more.

- 🧪 Hands-on Projects: Engage in hands-on projects that demonstrate the practical implementation of AI techniques. Each project includes a detailed explanation, code samples, and datasets to help you learn and experiment with real-world scenarios.

- 🌐 Open Source Contributions: This repository encourages open source contributions! If you have valuable resources or interesting projects to share, please feel free to submit a pull request.



## How to Use



1. **Explore Resources**: Browse through the resource library to find articles, tutorials, papers, books, videos, and other materials related to Applied AI.

2. **Try Hands-on Projects**: Dive into the hands-on projects available in the repository. Each project provides a step-by-step guide, code samples, and datasets to help you get started.

3. **Contribute**: If you want to contribute to the repository, whether it's adding new resources or sharing your own projects, please follow the guidelines mentioned in the [CONTRIBUTING.md](CONTRIBUTING.md) file.



## How to Contribute



Contributions are highly encouraged! If you have valuable resources, tutorials, papers, books, videos, or projects related to Applied AI, or if you want to improve the existing content, follow these steps:



1. Fork the repository.

2. Create a new branch for your changes.

3. Make your modifications, ensuring clear and concise explanations.

4. Commit and push your changes to your forked repository.

5. Submit a pull request, describing the changes you've made.



Please read the [CONTRIBUTING.md](CONTRIBUTING.md) file for more detailed information on how to contribute.



## License



This repository is licensed under the [MIT License](LICENSE), which means you're free to use, modify, and distribute the content for personal or commercial purposes.



## Acknowledgements



A special thank you to all the contributors who have helped build and improve this repository. Your contributions make Applied-AI-Playground a valuable resource for the AI community.



If you find this repository helpful, don't forget to give it a ⭐️ to show your support!



Enjoy exploring the exciting world of Applied AI and happy coding! 💡