Credit Score Classification App

This streamlit app demonstrate how a company may evaluate a person credit score, you can see the app live here.

Running Locally

If you want to run the app locally you can clone the project

  git clone https://github.com/devmedeiros/credit-score-classification-app

Install the requirements

  pip install -r requirements.txt

Enter the project directory

  cd credit-score-classification-app

Run the Streamlit App

  streamlit run app/streamlit_app.py

Project Organization

├── LICENSE
├── README.md          <- The top-level README for developers using this project.
├── data
│   ├── external       <- Data from third party sources.
│   ├── interim        <- Intermediate data that has been transformed.
│   └── processed      <- The final, canonical data sets for modeling.
│
├── app                <- Streamlit App.
│
├── models             <- Trained and serialized models.
│
├── notebooks          <- Jupyter notebooks. Naming convention is a number (for ordering)
│                         and a short `-` delimited description, e.g.
│                         `1.0-initial-data-exploration`.
│
├── references         <- Data dictionary.
│
├── reports            <- Generated analysis as HTML, PDF, LaTeX, etc.
│   └── figures        <- Generated graphics and figures to be used in reporting
│
└── requirements.txt   <- The requirements file for reproducing the analysis environment, e.g.
                          generated with `pip freeze > requirements.txt`

Roadmap

• improve machine learning model

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Project based on the cookiecutter data science project template.