Month: 2025-01. Summary of work for KU-BIG/KUBIG_2025_SPRING focusing on delivered features, bug fixes, impact, and skills demonstrated. Key feature delivered: Red Wine Quality Classification Notebook for ML study, added as part of an ML exploration workflow. No major bugs fixed this month. The work established a reproducible ML study foundation, enabling faster experimentation, feature engineering, and knowledge sharing. Technologies demonstrated include Python, Jupyter notebooks, data loading, EDA, data distribution checks, correlation analysis, and Git-based version control.

December 2024—KU-BIG/KUBIG_2024_FALL: Delivered foundational ML notebooks, data preprocessing pipelines, and scaffolding for ongoing research initiatives. Focused on business value through rapid prototyping, reproducibility, and collaboration readiness. Notable work includes binary classification and image classification notebooks, Week 5 tabular data scaffolding, data preprocessing/feature engineering, and a speech recognition notebook. A cleanup removed outdated Week 5 tabular material to reduce confusion and maintain repository hygiene. This set the stage for repeatable experiments, cross-team collaboration, and scalable model development in 2025.