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Explain Any ML Prediction with SHAP in Python | XGBoost Explained #datascience #explainableai
If you’re training machine learning models but struggling to explain why a prediction happens, this Python package will change everything. In Python Packages – Episode 19, we explore SHAP (SHapley Additive exPlanations) using an XGBoost regression model on the California housing dataset. You’ll see how SHAP breaks down a single prediction ...
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