The repository that collects all of my Kaggle kernel notebooks:
- NLP Preprocessing and Feature Extraction Methods A-Z
- This notebook's motivation is to create a ready-to-made all-in-one-place of NLP preprocessing and feature extraction techniques and codes.
- Bank Marketing - Ensemble Learning Pipeline. The purposes of this notebook are to experiment on the following topics:
- Imbalanced Binary Classification.
- Solving Data Leakage via Cross-Validation
- Training pipeline
- Hyperparameter optimization
- Ensemble Learning Binary Classification Models (Voting, Bagging, Boosting and Stacking Classifiers)