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brigit_takehome_technical's Introduction

brigit

Predicting Default / No Default Customers

Project Organization

├── 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

brigit_takehome_technical's People

Contributors

richwolff avatar

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