A personal learning vault: course notes, assignment solutions, lecture PDFs, handbooks, and reference material collected across Coursera, Udemy, and self-study.
| Folder | Contents |
|---|---|
coursera/ |
Coursera coursework, organized one folder per course |
coursera/algorithm-toolbox/ |
UC San Diego Algorithmic Toolbox — weekly assignments and solutions (C++/Python) |
coursera/machine-learning/ |
Andrew Ng's Machine Learning — lecture notes, quizzes, programming exercises |
coursera/generative-ai/ |
Generative AI learning paths — foundational, technical, and agentic tracks |
books/ |
Reference textbooks (data mining, digital image processing, neural networks) |
handbooks/ |
Quick-reference handbooks, grouped by topic (javascript/, css/, backend/), plus top-level handbooks for React, Vue, Next.js, and Linux |
notes/ |
Training notes (Java, Oracle) |
Each course folder has its own README.md with a more detailed breakdown of its contents.
- Weekly folders use zero-padded kebab-case (
week-01,week-02, ...) so they sort correctly. - Course folders that mirror an official export name (e.g. Generative AI track/module names) keep that original naming rather than being rewritten.
PDFs, archives, .mat/.joblib data files, and images are tracked with Git LFS. Run git lfs install once, then clone/pull as usual.
This repository includes copies of textbooks, course lecture PDFs, and training materials that are not authored by me and remain the property of their respective publishers/instructors. They're kept here for personal reference only. The LICENSE in this repository applies only to my own original notes and code — it does not grant any rights to that third-party material.
Original notes, solutions, and code in this repository are licensed under the MIT License. Third-party PDFs and course exports are excluded, as noted above.