Skip to content

Web app based on a machine learning model (lightGBM) for credit granting decision.

Notifications You must be signed in to change notification settings

alhassane-lab/loan-scoring

Repository files navigation

Description

Home Credit is a financial company that offers consumer credit. Credit Score Project is a tool that aims to give a guidance in credit granting decision for Home Credit Relationship Managers.

Project Road Map

lifecycle This project has 2 main parts such as : Analysis & Modeling and Dashboard dev & deployment£.

Analysis & Modeling

Here, we will work mostly on jupyter notebook environment. We will have 3 subparts such as :

  • Data Preparation : cleaning, exploring, feature engineering, resampling
  • Modeling : modeling, tuning, tracking mlflow
  • Monitoring : data drift report with evidently and cinnamon

Dashboard coding & deployment

Here we used VScode and bash to code and deploy the web application.

  • Dashboard : structuring and coding the web application with streamlit.
  • Industrilization : compiling, testing and deploying the applicaiotn.

Continious deployment

archi

Web Application Acces

To acces the web app : Click here

About

Web app based on a machine learning model (lightGBM) for credit granting decision.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published