Building a Well-Structured Project Directory

The video tutorial covers the importance of building a well-structured project directory for data science and fine-tuning projects. It highlights the benefits of organized data management, such as improved team collaboration, efficiency, and reusability. The tutorial provides guidelines on creating a project directory, including using descriptive folder names and maintaining a README file. It also discusses organizing code and data files, documenting processes, and versioning models. The video concludes with best practices for maintaining project directories and suggests uploading projects to platforms like GitHub for future use.

Why is it important to use descriptive names for folders and files?

What is the significance of keeping copies of different codes used in a project?