Machine Learning and Deep Learning Support
Tutorial, lab, and assessment support for ML, deep learning, NLP, and data science foundations.
Teaching and support areas include machine learning, deep learning, natural language processing, and data science foundations.
Support areas
- Python, PyTorch, Hugging Face, scikit-learn, Pandas, NumPy, Jupyter, and Linux.
- Tutorials, class activities, small-group discussions, coding practicals, reproducibility checks, project reports, oral demos, and rubric-aligned marking.
- Debugging practices, code reviews, student Q&A, academic integrity, and citation support.