Personal archive of my Kaggle competition work during the March-April 2025 study group
A study group where members take turns presenting chapters from reference books and then apply the concepts and know-how directly in actual Kaggle competitions.
- Status: Done
- Score: 0.89712 AUC
- Rank: 700/4382
- Brief: Binary classification to predict rainfall using weather data.
- Status: In progress
- Score: TBD
- Rank: TBD
- Brief: Predicting imminent collisions using dashcam footage in a balanced dataset of real-world driving scenarios provided by Nexar.
- My detailed study notes are maintained in Notion: [Notion Link]
- Based on the book: "Kaggle Know-how from Kaggle Medalists" (캐글 메달리스트가 알려주는 캐글 노하우), Kim Taejin et al., Gilbut, 2023-07-25
- Python
- Pandas
- Scikit-learn
- Matplotlib/Seaborn
- Jupyter Notebook
This repository is for personal archival purposes. All competition data usage complies with Kaggle terms and conditions.