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@@ -19,10 +19,11 @@ pip install random
 pip install tabulate
 ```
 
-## Codes Python de Base
 
-<<<<<<< HEAD
-These codes will be found in the section of each submission: "1_Analytics_UI", "2_Evaluator_Block", "3_User_Based", "4e Rendu". These are located in the same folder as each Jupyter notebook (.ipynb).
+##Project Structure
+The project is organized into the following key components:
+
+###Configuration and Constants
 
 1. **configs.py**
     - This code defines an EvalConfig class that stores configurations for evaluating multiple recommendation models. It specifies a list of models, each with its name, class, and parameters. Metrics are defined to evaluate model performance under different scenarios: split evaluation, Leave-One-Out, and on the entire dataset. Other parameters include test set size and number of recommendations to consider.