{{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 | └── tox.ini <- tox file with settings for running tox; see tox.testrun.org