A collection of high-ranking Kaggle competition notebooks across Tabular ML, NLP, and Computer Vision.
This repo contains:
- Winning and top-performing solutions
- Ensemble & stacking systems
- Transformer and LLM pipelines
- Deep learning experiments
- Feature engineering frameworks
- Hyperparameters optimization
- Efficient competition workflows
Models range from classic boosting systems to large transformer architectures and multimodal approaches.
Built for leaderboard performance, rapid experimentation, and pushing state-of-the-art ideas under competition constraints.