Examples#
This section contains end-to-end examples demonstrating how to use Gators for real-world machine learning tasks.
Overview#
Each example notebook demonstrates a complete ML workflow using Gators transformers:
Data loading and exploration
Feature engineering pipeline construction
Model training and evaluation
Performance comparison with traditional methods
Titanic Survival Prediction#
Binary classification using advanced feature engineering including string parsing, mathematical features, and rare category encoding.
House Price Prediction#
Regression task demonstrating numeric feature engineering, scaling, and handling of mixed data types.
San Francisco Crime Classification#
Multi-class classification with datetime feature engineering, text processing, and geographic features.
Fraud Detection#
Imbalanced classification with advanced feature generation, group-based statistics, and model evaluation.