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Course Notebooks (Machine Learning)

This repository contains Jupyter notebooks (.ipynb) prepared for teaching and learning purposes. It includes:

  • Learning notebooks: examples and explanations to help students understand concepts
  • Reference implementations: standard machine learning workflows and algorithm pipelines

License

Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0)

You are free to share and adapt the materials for non-commercial purposes only, provided you give appropriate attribution.

Required attribution

Please attribute as:

NI Qingqing @ NUS, ECE (2026)

A citation in your README / course page / notebook header is sufficient.

What is allowed (Non-Commercial)

✅ Allowed (with attribution):

  • Personal learning and self-study
  • Use in non-profit / non-commercial classroom teaching at schools and universities
  • Sharing with students for a class (e.g., posting on a course LMS) as long as it is not sold and attribution is kept
  • Creating and sharing modified versions for non-commercial purposes (with attribution)

What is NOT allowed (Commercial use)

❌ Not allowed without separate written permission:

  • Using these notebooks/materials in paid courses, commercial training, bootcamps, or any product/service that is sold
  • Republishing or bundling the materials as part of a commercial offering (including “course packs” sold to students)
  • Using substantial parts of this repo to create monetized content (e.g., paid video courses, subscription communities)

If you want to use any part of this repository for commercial purposes, please contact the author to request a separate license.

Academic Integrity Notice

If you are a student: follow your course’s academic integrity policy.
Copying solutions or submitting derived work as your own may constitute academic misconduct.

Disclaimer (No Warranty)

These materials are provided "as is", without warranty of any kind.

  • The author is not responsible for any errors, omissions, or outcomes resulting from the use of these materials.
  • If incorrect usage of the code leads to wrong results and consequently affects your performance in exams, assignments, or grading, the responsibility remains with the user.
  • Use at your own risk.

Acknowledgements

Where relevant, third-party libraries and datasets remain under their respective licenses and terms.

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Personal EE2211 teaching material repository

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