==============================
Credit Default Prediction Project
To see the data dictionary, you could visit: https://www.kaggle.com/datasets/uciml/default-of-credit-card-clients-dataset
├── LICENSE
├── README.md <- The top-level README for developers using this project.
├── data
│ ├── scores <- Results from scoring model.
│ ├── processed <- The final, canonical data sets for modeling.
│ └── raw <- The original, immutable data dump.
│
├── models <- Trained and serialized models, model predictions, or model summaries
│
├── notebooks <- Jupyter notebooks. Naming convention is a number (for ordering)
│
├── 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
│ │
│ ├── make_dataset.py<- Script to prepare data
│ │
│ ├── train.py <- Script to train models
│ │
│ ├── evaluate.py <- Script to evaluate models using kpi's
│ │
│ └── predict.py <- Script to use trained models to make predictions
│
└── LICENSE <- License
Project based on the cookiecutter data science project template. #cookiecutterdatascience