✓ Feature importance, Feature selection and Feature scaling explained in simple terms & how to implement
![Detection of the chronic kidney disease using XGBoost classifier and explaining the influence of the attributes on the model using SHAP | Scientific Reports Detection of the chronic kidney disease using XGBoost classifier and explaining the influence of the attributes on the model using SHAP | Scientific Reports](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41598-023-33525-0/MediaObjects/41598_2023_33525_Fig1_HTML.png)
Detection of the chronic kidney disease using XGBoost classifier and explaining the influence of the attributes on the model using SHAP | Scientific Reports
![Analytics Snippet - Feature Importance and the SHAP approach to machine learning models - Actuaries Digital - Analytics Snippet – Feature Importance and the SHAP approach to machine learning models | Actuaries Digital Analytics Snippet - Feature Importance and the SHAP approach to machine learning models - Actuaries Digital - Analytics Snippet – Feature Importance and the SHAP approach to machine learning models | Actuaries Digital](https://www.actuaries.digital/wp-content/uploads/2019/06/Method-5-400x291.jpg)