Case Studies are extremely important for the teaching, learning and telling stories of Data Science. This repo would be the one-stop place for different data science case studies. The problem statement, dataset, source code, report and analysis will be available here; primarily focusing on reproducibility, replicability, and readability. The aim will always be on scientifically rigorous studies in the multidisciplinary field. The repo provides a crossroads at which foundational data science work intersects directly with critical applications from industry, governments, and other sciences. By disseminating inspiring reproducible case studies, DSCS aspires to be an interdisciplinary forum on data science for all.
- Create your fork
- In your fork, you should create a branch. It will be particularly helpful if you plan to work on more than one case study.
- Choose an active folder and upload your folder to the active folder.
- Commit to the contribution and push.
- Finally, you make a Pull Request.
Once you make a pull request - it will go through the review process. If there are no major objections from any review, the study will be accepted in the repository.
Every submission will be checked for plagiarism.