scikit-learn
machine-learning library
Classic ML library for Python
Supported languages
Concepts
estimatorstransformerspipelinescross-validation
Pros and Cons
Ventajas
- + Consistent and simple API
- + Excellent documentation
- + Very well-tested and stable
- + Integration with numpy/pandas
Desventajas
- - Not for deep learning
- - No native GPU support
- - Not for very large datasets
Casos de Uso
- Classic ML
- Data preprocessing
- Feature engineering
- Prototyping