cookiecutter-data-science/{{ cookiecutter.repo_name }}
Matt Fortier adf935ba53 fixed minor formatting issue in Makefile (#61) 2017-02-04 20:59:19 -07:00
..
data Force add data directories 2015-10-30 15:22:43 -04:00
docs Fix typo in getting-started.rst 2016-08-24 13:09:43 -04:00
models Add models and reports directories 2015-10-30 17:37:47 -04:00
notebooks Add other directories 📁 2015-10-30 15:23:59 -04:00
references Add other directories 📁 2015-10-30 15:23:59 -04:00
reports Update to structure 2016-03-19 16:49:01 -04:00
src Add docstring in make_dataset; closes #1 2016-09-05 19:57:24 -04:00
.env Add python-dotenv and default .env file 2015-11-02 09:25:23 -05:00
.gitignore #53 Rename IPython to Jupyter 2016-10-25 13:57:43 -07:00
LICENSE Update year to be automatic 2017-01-28 11:33:01 -05:00
Makefile fixed minor formatting issue in Makefile (#61) 2017-02-04 20:59:19 -07:00
README.md Add backlink; closes #39 2016-09-05 19:33:23 -04:00
requirements.txt Bump python-dotenv version, closes #30 2016-05-28 08:28:03 -04:00
test_environment.py small naming fix 2016-10-05 16:03:25 -04:00
tox.ini Add flake8 linting 2015-11-02 09:02:49 -05:00

README.md

{{cookiecutter.project_name}}

{{cookiecutter.description}}

Project Organization

├── LICENSE
├── Makefile           <- Makefile with commands like `make data` or `make train`
├── README.md          <- The top-level README for developers using 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.
│
├── 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
│   │
│   ├── 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
│   │
│   └── visualization  <- Scripts to create exploratory and results oriented visualizations
│       └── visualize.py
│
└── tox.ini            <- tox file with settings for running tox; see tox.testrun.org

Project based on the cookiecutter data science project template. #cookiecutterdatascience