ScratchAI Repository
The ScratchAI repository is dedicated to developing machine learning (ML) and deep learning (DL) algorithms from the ground up. This project aims to provide a comprehensive understanding of the underlying mathematics and programming involved in creating these algorithms.
Key Features:
- Hands-on Learning: Users can engage with the code to learn how ML and DL algorithms work.
- Algorithm Implementations: The repository includes implementations of various algorithms, allowing users to see practical applications.
- Educational Resources: It serves as a resource for students and professionals looking to deepen their knowledge in AI.
Use Cases:
- Educational Purposes: Ideal for students and educators in computer science and data science.
- Research and Development: Useful for researchers looking to experiment with foundational algorithms.
- Skill Development: Great for developers wanting to enhance their skills in AI and machine learning.