A generic regression engine for predicting a continuous target variable from structured tabular data using feature engineering and ensemble methods.
- Clean, modular Python codebase following best practices
- Full data preprocessing pipeline
- Multiple regression models with evaluation
- Trained Random Forest model persisted with Joblib
- Easy to extend or retrain on new datasets
pip install -r requirements.txt