This organization is a personal archive of self-study projects by LeeChangmin0310.
It includes hands-on code and notes from books, university coursework, and practical experiments in data science, machine learning, and more.
- ๐ University coursework and related repositories will be added later (someday... maybe ๐ ).
| Repository | Description |
|---|---|
| Big-Data-Analysis-SMU | Practical exercises from Big Data Analysis class at SMU |
| Python-Data-Analysis | Data analysis examples using Python and Pandas |
| Repository | Description |
|---|---|
| ML-Perfect-Guide | Code from Python Machine Learning Perfect Guide |
| Data-Science-from-Scratch | ML fundamentals implemented from scratch |
| Hands-on-ML | Practical ML examples from Hands-on Machine Learning |
| Repository | Description |
|---|---|
| Deep-Learning-Understanding | Understanding Deep Learning theory |
| Deep-Learning-from-Scratch-1 | Deep Learning from Scratch Vol.1 implementations |
| Deep-Learning-from-Scratch-2 | Deep Learning from Scratch Vol.2 implementations |
| Hands-on-ML | Contains DL chapters and TensorFlow/PyTorch exercises |
| Repository | Description |
|---|---|
| CV-DL-Study | Basics of computer vision and deep learning |
- will be updated
| Repository | Description |
|---|---|
| Multi-Modal-Workshop | Workshop code for multi-modal learning projects |
โจ This repository serves as a personal study log.
All content is based on books, lectures, or personal experiments unless otherwise noted.