← All projects
EDA & Classic ML

Lending Business Case Study

EDA on 2007–2011 lending data to identify default drivers

Exploratory data analysis of a real lending portfolio — amount-to-income ratio, revolving utilisation, derogatory records, and loan purpose as key default signals. Univariate, bivariate, and trivariate analysis across 14.16% overall default rate; Spain flagged at 18.31%.

PythonPandasEDARisk AnalysisJupyter
Lending Business Case Study preview
— Stars
— Open Issues
— Language
— License
Commit Activity — past year

GitHub is computing this repo's commit history — usually ready in a few seconds…

Language Breakdown
    Recent activity

    How it was built

    Lending Business Case Study, from first question to shipped.

    StatusShippedall stages complete
    Stages4 / 4frame to ship
    Headline14.16%overall default rate
    Ship Passed
    • Key signals: amount-to-income ratio, revolving utilisation, derogatory records and loan purpose