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

{{cookiecutter.project_name}}
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{{cookiecutter.description}}

Project Organization
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    ├── 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