Curated machine learning and data science study labs from academic projects and notebooks.
PT-BR: este repositorio consolida estudos academicos de ML/dados em uma vitrine unica, mantendo os repos antigos como historico arquivado quando necessario.
This repository is the public entry point for selected academic and study work around recommendation systems, notebooks, exploratory analysis and applied data projects.
See catalog/projects.md for the migration map and project status.
- Python
- Jupyter Notebook
- pandas, NumPy and scikit-learn style workflows
- Recommendation systems and exploratory analysis
study / portfolio-support
The collection is curated as a study archive. New professional work should live in focused repositories, while older academic projects are referenced here with context.
- Add cleaned notebook exports for the strongest studies.
- Add reproducible environment files for selected labs.
- Keep private or sensitive academic material out of the public collection.