my-datascience-cookiecutter/{{ cookiecutter.repo_name }}/README.md

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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.
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├── docs               <- A default Sphinx project; see sphinx-doc.org for details
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├── figures            <- Graphic output from modeling to be used in reports
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├── 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`.
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├── references         <- Data dictionaries, manuals, and all other explanatory materials.
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├── reports            <- Generated analysis as HTML, PDF, LaTeX, etc.
│   └── figures        <- Generated graphics and figures to be used in reporting
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├── requirements.txt   <- The requirements file for reproducing the analysis environment, e.g.
|                         generated with `pip freeze > requirements.txt`
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├── src                <- Source code for use in this project.
│   ├── __init__.py    <- Makes src a Python module
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│   ├── data           <- Scripts to download or generate data
│   │   └── make_dataset.py
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│   ├── features       <- Scripts to turn raw data into features for modeling
│   │   └── build_features.py
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│   └── models         <- scripts to train models and then use trained models to make
|       |                 predictions
│       ├── predict_model.py
│       └── train_model.py
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└── tox.ini           <- tox file with settings for running tox; see tox.testrun.org