First Steps to Interpretable Machine Learning, Natalie Beyer

This talk is based on a real data science project of mine. The used dataset will have a target column, that is going to be predicted. With the use of several packages like SHAP it will be possible to interpret the predictions. SHAP values are giving us the opportunity to see which features the algorithm took into account to get to the prediction. This very useful package by Scott Lundberg plots also insightful visualizations. As a data science consultant I find this approach very effective, as some of my cl