A clean and well-organized repository (e.g., GitHub or GitLab) containing all the code used for data collection, preprocessing, modeling, and evaluation. The code will be commented thoroughly to explain the logic behind each step, from data loading and cleaning to model training and evaluation. It will also include instructions on how to run the code, set up the environment, and reproduce the results.