https://github.com/jvelezmagic/covid_analysis

https://github.com/jvelezmagic/covid_analysis

conda covid-19 data-science factor-analysis forecasting jupyter-book python time-series

Last synced: about 8 hours ago
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• Host: GitHub
• URL: https://github.com/jvelezmagic/covid_analysis
• Owner: jvelezmagic
• License: mit
• Created: 2021-09-20T03:25:41.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2021-09-23T03:46:13.000Z (over 3 years ago)
• Last Synced: 2024-01-29T16:26:37.427Z (12 months ago)
• Topics: conda, covid-19, data-science, factor-analysis, forecasting, jupyter-book, python, time-series
• Language: Jupyter Notebook
• Homepage: https://jvelezmagic.github.io/covid_analysis/
• Size: 101 MB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Covid Analysis

An awesome project.

  

## Installation guide

Please read [install.md](install.md) for details on how to set up this project.

## Project Organization

    ├── LICENSE

    ├── tasks.py           <- Invoke with commands like `notebook`.

    ├── README.md          <- The top-level README for developers using this project.

    ├── install.md         <- Detailed instructions to set up this project.

    ├── data

    │   ├── 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.

    │

    ├── 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.

    │

    ├── environment.yml    <- The requirements file for reproducing the analysis environment.

    │

    ├── .here              <- File that will stop the search if none of the other criteria

    │                         apply when searching head of project.

    │

    ├── setup.py           <- Makes project pip installable (pip install -e .)

    │                         so covid_analysis can be imported.

    │

    └── covid_analysis               <- Source code for use in this project.

        ├── __init__.py    <- Makes covid_analysis a Python module.

        │

        ├── data           <- Scripts to download or generate data.

        │   └── make_dataset.py

        │

        ├── features       <- Scripts to turn raw data into features for modeling.

        │   └── build_features.py

        │

        ├── models         <- Scripts to train models and then use trained models to make

        │   │                 predictions.

        │   ├── predict_model.py

        │   └── train_model.py

        │

        ├── utils          <- Scripts to help with common tasks.

            └── paths.py   <- Helper functions to relative file referencing across project.

        │

        └── visualization  <- Scripts to create exploratory and results oriented visualizations.

            └── visualize.py

---

Project based on the [cookiecutter conda data science project template](https://github.com/jvelezmagic/cookiecutter-conda-data-science).