Classifying Credit-Loan Customers
Last Updated on July 24, 2023 by Editorial Team
Author(s): Lawrence Alaso Krukrubo
Originally published on Towards AI.
4a. K-Nearest-Neighbour Classifier (KNN):

Intro.Exploratory data analysis.Feature-Engineering.Modeling and Evaluation.Conclusion.The classification decision should be based on some science…
In August 2018, an article by the New York Post showed that more Americans were defaulting on their credit card bills, despite a “booming economy”. Another observer LendingTree.com noted a $16.25 billion increase in revolving debt in May of the same year.
Revolving debt is the card debt that is carried from month to month, usually at high-interest rates because a card, unlike a house, is an unsecured debt.
It further predicted that both revolving and non-revolving debts will surpass the $4 trillion mark, by the end of 2018 according… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.