Features
classical-mlalgorithmspreprocessingsimple
Pros and Cons
Ventajas
- + Consistent and easy-to-use API
- + Wide collection of classical algorithms
- + Excellent for learning ML
- + Perfect integration with NumPy/Pandas
- + Exemplary documentation
Desventajas
- - No deep learning support
- - No native GPU support
- - Limited for big data
- - Not for neural networks
Use Cases
- Classification and regression
- Clustering and dimensionality reduction
- Data preprocessing
- Model selection and validation
- Traditional ML pipelines