public-health-prototype

Public Health Prototype Matrix

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                     <- A directory for local data.
├── models                   <- Trained and serialized models, model predictions, or model summaries
│
├── notebooks                <- Jupyter notebooks.
│
├── 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
│
│
├── conda-requirements.txt   <- The requirements file for conda installs.
├── requirements.txt         <- The requirements file for reproducing the analysis environment, e.g.
│                               generated with `pip freeze > requirements.txt`
│
├── setup.py                 <- makes project pip installable (pip install -e .) so src can be imported
├── src                      <- Source code for use in this project.
│   ├── __init__.py          <- Makes src a Python module
│   │
│   ├── data                 <- Scripts to download or generate data
│   ├── features             <- Scripts to turn raw data into features for modeling
│   ├── models               <- Scripts to train models and then use trained models to make
│   └── visualization        <- Scripts to create exploratory and results oriented visualizations

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Setting up a Conda Environment

1. conda create --name my_project_name

2. `source activate my_project_name

3. conda install --file conda-requirements.txt -c conda-forge

4. pip install requirements.txt

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