Update README.md

README.md

@@ -6,6 +6,9 @@ This repository is organized as follows:
 * [EDA](./EDA): Exploring data, handling missing values, analyzing variable distribution, filtering data, feature selection, encoding variables, and performing correlation analysis.
 * [gen_train_data](./gen_train_data): Generating training and testing datasets [wait for final approach TBC].
 * [model_selection](./model_selection): Tuning models, generating metrics from cross-validation and testing, and selecting final models.
+    * [hyperparam_tuning.py](./model_selection/hyperparam_tuning.py): Tunes models through a random search of hyperparameters.
+    * [cv_metric_gen.py](./model_selection/cv_metric_gen.py): Generates cross-validation metrics and plots for the tuned models.
+    * [cv_metrics_distr.py](./model_selection/cv_metrics_distr.py): 
 * [explainability](./explicability): SHAP explainability analysis, comparing pre- and post-pandemic groups.
 
 [Outro]