1. Use a "Monorepo" for Similar Projects

If you want to group related projects (e.g., all Flask apps or all data analysis notebooks), you can:

Create one new repo for the category (e.g., data-analysis-projects).

Inside it, create folders for each project:

data-analysis-projects/

├── project-1/

├── project-2/

└── project-3/

Push this as a single repository.

2. Maintain Separate Repos + Create a "Portfolio" or "Index" Repo

Keep individual repos as-is and:

Create a new repository called something like project-index, my-projects, or portfolio.

In its README.md, organize links by category:

## Data Analysis

- [EDA on Titanic Dataset](https://github.com/yourusername/titanic-analysis)

- [Pandas Exercises](https://github.com/yourusername/pandas-exercises)

## Web Development

- [Flask Blog App](https://github.com/yourusername/flask-blog)

- [HTML & CSS Basics](https://github.com/yourusername/html-css-site)

This way, visitors can navigate your projects easily.

3. Use Topics and Descriptions on Each Repo

Add topics (like python, flask, data-analysis) to your repositories.

You can then search or filter your repos via topics:

https://github.com/yourusername?tab=repositories&q=topic:data-analysis