An Introduction to SHAP Values and Machine Learning

Unlock the black box of machine learning models with SHAP values.
What is DataCamp? Learn the data skills you need online at your own pace—from non-coding essentials to data science and machine learning.

Explainability In Machine Learning: Top Techniques - Arize AI

A Beginner's Guide to SHAP Values: Machine Learning Interpretability and Feature Selection Made Easy

Abid Ali Awan - Data Scientist

Summary plots for SHAP values. For each feature, one point corresponds

Abid Ali Awan - Data Scientist

Unboxing the Black Box: A Guide to Explainability Techniques for Machine Learning Models Using SHAP, by Sina Nazeri, The Power of AI

SHAP Values: An Intersection Between Game Theory and Artificial Intelligence

An Introduction to SHAP Values and Machine Learning Interpretability

XGBoost explainability with SHAP

Introduction to SHAP Values and their Application in Machine Learning, by Reza Bagheri

A gentle introduction to SHAP values in R

Interpretation of machine learning models using shapley values: application to compound potency and multi-target activity predictions

GitHub - shap/shap: A game theoretic approach to explain the output of any machine learning model.