This repository contains my work on various Kaggle competitions. These projects are a mix of exploratory notebooks, feature engineering, model training, and submission pipelines.
Each competition folder includes:
- Exploratory Data Analysis (EDA)
- Feature engineering techniques
- Model training scripts (e.g., LightGBM, XGBoost, CatBoost, etc.)
- Submission preparation and evaluation
- Notes and lessons learned
Coming soon - need to finish porting all projects here
Coming soon — I'll update this section with my Kaggle profile, rankings, and competition medals.
Not all solutions here are final or optimised — many are part of my learning journey or first attempts at competition workflows.