Collect project descriptions from EUvsVirus Hackathon devpost, and perform text analysis & clustering.
Are accessible under https://rania.shinyapps.io/euvsvirus_collab/
├── LICENSE
├── README.md <- The top-level README for developers using this project.
├── ETHICS.md <- ETHICS checklist for this project.
│
├── environment.yml <- Anaconda environment for reproducing the analysis environment, e.g.
│
├── data <- Don't use this directory, as we have a DropBox folder for that.
│ ├── external <- Data from third party sources.
│ ├── interim <- Intermediate data that has been transformed.
│ ├── processed <- The final, canonical data sets for modeling.
│ └── raw <- The original, immutable data dump.
│
├── docs <- A default Sphinx project; see sphinx-doc.org for details.
│
├── models <- Trained and serialized models, model predictions, or model summaries.
│
├── notebooks <- Jupyter notebooks. Naming convention is a number (for ordering),
│ the creator s initials, and a short `-` delimited description, e.g.
│ `1.0-jqp-initial-data-exploration`.
│
├── references <- Data dictionaries, manuals, and all other explanatory materials.
│
├── reports <- Generated analysis as HTML, PDF, LaTeX, etc.
│ └── figures <- Generated graphics and figures to be used in reporting.
│
├── requirements.txt <- The requirements file for reproducing the analysis environment, e.g.
│ generated with `pip freeze > requirements.txt`.
│
└── src <- Source code for use in this project.
├── __init__.py <- Makes src a Python module.
│
├── scraping <- Scripts to scrape DevPost site.
│
├── clustering <- Scripts to cluster Hackathon projects.
│
├── presentation <- Scripts to visualize and present insights.
│
└── test <- Testscripts.
Code Review: Stephan Wöber
Project based on the cookiecutter data science project template. #cookiecutterdatascience