The Conference for Machine Learning Innovation

First Steps to Interpretable Machine Learning with SHAP

Join the ML Revolution! Register until September 26th: ✓Arduino Starter Kit or C64 Mini for free ✓Save up to € 300 ✓ 10% Team Discount Register Now

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 the package 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 clients were looking for a machine learning solution that provide interpretable results.

Behind the Tracks