Python, Libraries, Machine Learning, Shap, Explanation.
decision trees, and black-box models like Random Forest, XGBoost and neural networks. It’s important to note that these libraries are model-agnostic, meaning that they can be used for any kind of model, and also that in order to have meaningful results, the data needs to be cleaned, pre-processed,