Introduction to SmolML
SmolML is a fully functional and simple Machine Learning library developed entirely from scratch using Python. It aims to provide a straightforward interface for users who want to implement machine learning algorithms without the complexity of larger libraries.
Key Features:
- Simplicity: Designed for ease of use, making it accessible for beginners and educational purposes.
- Custom Implementations: Each algorithm is implemented from the ground up, allowing users to understand the underlying mechanics.
- Versatile Applications: Suitable for various machine learning tasks including classification, regression, and clustering.
Use Cases:
- Educational Tool: Ideal for students and educators looking to learn and teach machine learning concepts.
- Prototyping: Useful for developers who need a lightweight library for quick prototyping of machine learning models.