Machine Learning Interpretable: SHAP, PDP y permutacion

Offered By
In this Guided Project, you will:
2 horas
Intermediate
No download needed
Split-screen video
Spanish
Desktop only

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.

Skills you will develop

  • Python Programming

  • SHAP

  • Machine Learning Interpretability

  • MAchine Learning interpretable

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently Asked Questions