https://github.com/mgobeaalcoba/cookiecutter_project_final

Mi proyecto final de creación de entorno profesional de trabajo en Ciencia de Datos.
https://github.com/mgobeaalcoba/cookiecutter_project_final

cookiecutter data-science python template-project

Last synced: 2 months ago
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Mi proyecto final de creación de entorno profesional de trabajo en Ciencia de Datos.

• Host: GitHub
• URL: https://github.com/mgobeaalcoba/cookiecutter_project_final
• Owner: Mgobeaalcoba
• License: other
• Created: 2022-02-24T12:51:21.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2022-02-24T12:52:52.000Z (over 4 years ago)
• Last Synced: 2025-01-20T07:32:36.460Z (over 1 year ago)
• Topics: cookiecutter, data-science, python, template-project
• Language: Jupyter Notebook
• Homepage:
• Size: 52.7 KB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# FINAL_PROJECT

Proyecto final del curso de entorno profesional de trabajo

  

## 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 final_project can be imported.

    │

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

        ├── __init__.py    <- Makes final_project 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).