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Adding first Lab.

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# IA para Aplicaciones del Mundo Real
Universidad Galileo — Labs y tareas del curso.
## Labs
| # | Lab | Tema | Enlace |
|---|-----|------|--------|
| 1 | Selección de Modelos e Hyper-parameter Tuning | Cross-validation, comparación de arquitecturas (scikit-learn, TensorFlow, PyTorch) y tuning con Grid Search, Random Search y Optimización Bayesiana (Optuna) | [Labs/Lab1.ipynb](Labs/Lab1.ipynb) |