Update README.md

cerlymarco · web-flow · commit 67926158f019 · 2021-06-08T15:46:39.000+02:00
diff --git a/README.md b/README.md
@@ -22,7 +22,7 @@ pip install shap-hypetune
 lightgbm, xgboost are not needed requirements. The module depends only on NumPy and shap. Python 3.6 or above is supported.
 
 ## Media
-[Comig Soon]
+[SHAP for Feature Selection and HyperParameter Tuning](https://towardsdatascience.com/shap-for-feature-selection-and-hyperparameter-tuning-a330ec0ea104)
 
 ## Usage
 #### Only Hyperparameters Tuning
@@ -125,4 +125,4 @@ model.fit(X_train, y_train, eval_set=[(X_valid, y_valid)], early_stopping_rounds
 
 All the examples are reproducible in regression contexts and with XGBModel.
 
-More examples in the [notebooks folder](https://github.com/cerlymarco/shap-hypetune/tree/main/notebooks).
+More examples in the [notebooks folder](https://github.com/cerlymarco/shap-hypetune/tree/main/notebooks).
