Interpretable Machine Learning Applications: Part 1

Complete this Guided Project in under 2 hours. In this 1-hour long project-based course, you will learn how to create interpretable machine learning ...

• How to select and compare different prediction models (classification regressors) for a real world dataset (FIFA 2018 Soccer World Cup Statistics).
• How to extract the most important features, which impact the classifiers, in a model-agnostic approach, together with caveats.
• How to get an insight into the way values of the most important features impact the predictions made by the classifiers.