A short description of the project.
├── README.md <- The top-level README for developers using this project.
│
├── docs <- A place to store documentation for the project
│
├── 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
│
├── modelling <- Source code to develop the models and generate reports
│ ├── requirements.txt <- Hold requirements for the project
│ ├── __init__.py <- Makes modelling a Python module
│ │
│ ├── data.py <- Objects to download or generate data
│ │
│ ├── models.py <- Objects to define, train models and then use trained models to make
│ │ predictions
│ │
│ ├── visualize.py <- Objects to create exploratory and results oriented visualizations
│ │
│ └── app.py <- Application to execute everything from the command line │ ├── service <- Source code to expose your model as a service │ ├── requirements.txt <- Makes src a Python module │ ├── init.py <- Makes service a Python module │ │ │ └── app.py <- Objects to download or generate data │ ├── tests <- Where you check that your code actually works as expected │ └── setup.cfg <- File holding settings for your project
Project based on the cookiecutter data science project template. #cookiecutterdatascience