Predicting Default / No Default Customers
├── README.md <- The top-level README for developers using this project.
├── data
│ ├── processed <- The final, canonical data sets for modeling.
│ └── raw <- The original, immutable data dump.
│
├── notebooks <- Jupyter notebooks. For data exploration and model development
├── reports <- Generated analysis as HTML, PDF, LaTeX, etc.
│
├── requirements.txt <- The requirements file for reproducing the analysis environment, e.g.
│ generated with `pip freeze > requirements.txt`
├── transform_data.py <- Transformations used to produce processed data. Will use the file in raw/loan_tape.csv.
│
├── environment.yml <- Environment file saved from conda used for this analysis.
│
└─ utils <- Custom utilities developed for reuse during this project.
Project based on the cookiecutter data science project template. #cookiecutterdatascience