# ML & AI Knowledge Base

Machine learning foundations, models, libraries, and practical guides.

---

## Topics

| Topic | Path |
|-------|------|
| Foundations | `Foundations/` |
| ML Models Guide | `Models/` |
| ML Libraries | `Libraries/` |
| HuggingFace | `HuggingFace/` |
| 100 Days Challenge | `100-Days-Challenge/` |
| SageMaker Deep Dive | `SageMaker-Deep-Dive/` |
| ZTM AI/ML Course | `ZTM-AI-ML/` |

## Learning Path

1. Start with `Foundations/` — math and basics
2. Move to `Models/` — understand architectures
3. Practice with `Libraries/` — scikit-learn, PyTorch, etc.
4. Go deep with `HuggingFace/` — transformers and NLP
5. Challenge yourself with `100-Days-Challenge/`

## Cross-Links

- AWS SageMaker integration in `01-AWS/SageMaker/`
- Vibe coding in `04-Dev-Platform/Vibe-Coding/`

---

*Index file — update as you add content*