This repo is a structured collection of notes, code, and resources I’ve compiled while exploring the AI ecosystem including Machine Learning (ML), Deep Learning (DL) and more...
- Artificial-Intelligence/
- │
- ├── ML/ # Machine Learning fundamentals, algorithms, and notebooks
- ├── DL/ # Deep Learning models, CNNs, RNNs, Transformers, etc.
- ├── HF/ # Hugging Face experiments
- │
- ├── LICENSE
- └── README.md
This repository serves as my personal learning path and hands-on practice in the AI domain.
Each folder contains implementations, experiments, and explanations to deepen understanding and build real-world skills.
- Python, NumPy, Pandas, Scikit-learn
- TensorFlow, PyTorch, Keras
- Matplotlib, Seaborn, OpenCV
- Hugging Face Transformers
- GitHub: @Sabtain-Dev
- LinkedIn: Muhammad Sabtain Khan
- Email: msabtainkhan131@gmail.com
⚡ "Learning never stops — every model, dataset, and experiment adds one more layer of understanding."