This repository serves as a central hub for student submissions related to data science projects. Here, you'll find a collection of innovative approaches and solutions tackled by aspiring data enthusiasts.
- Showcase Projects: Students can showcase their data science skills and creativity by submitting their projects here.
- Collaboration and Sharing: Foster a collaborative environment where students can learn from each other's projects and approaches.
- Version Control and Feedback: Utilize Git features for version control and to provide constructive feedback on submitted works.
- Clear Folder Structure: Create a dedicated folder for each project, adhering to a consistent naming convention.
- Readme File: Include a comprehensive README file within your project folder, outlining the project goals, methodology, and key findings.
- Code and Data (Optional): Consider including relevant code snippets and anonymized datasets (if applicable) for transparency and reproducibility.