email: victoriakcheung@gmail.com
@ https://mimic.physionet.org/gettingstarted/access/
├── LICENSE
├── Makefile <- Makefile with commands like `make data` or `make train`
├── README.md <- The top-level README for developers using this project.
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├── models <- Trained and serialized models, model predictions, or model summaries
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├── references <- Data dictionaries, manuals, and all other explanatory materials.
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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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├── 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
│ │ └── 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
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│ │
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│ └── visualization <- Scripts to create exploratory and results oriented visualizations
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├── spec-file.txt <- Create an identical virtual environment.
`conda create --name myenv --file spec-file.txt`
Project based on the cookiecutter data science project template. #cookiecutterdatascience