Machine Learning Interpretable: SHAP, PDP y permutacion

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Machine Learning Interpretable: SHAP, PDP y permutacion provided by Coursera is a comprehensive online course, which lasts for 2 hours worth of material. Machine Learning Interpretable: SHAP, PDP y permutacion is taught by Leire Ahedo. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Spanishand is Paid Course. Visit the course page at Coursera for detailed price information.

Overview
  • Este proyecto es un curso práctico y efectivo para aprender a generar modelos de Machine Learning interpretables. Se explican en profundidad diferentes técnicas de interpretabilidad de modelos como: SHAP, Partial Dependence Plot, Permutation importance, etc que nos permitirá entender el porqué de las predicciones.

    Gracias a esto, aprenderás a entrenar modelos Glassbox que puedas entender el porqué de sus decisiones.