Final Challenge: Loan Approval Classification

Welcome to your final challenge! This time, you'll build and evaluate a model from scratch on a brand‑new dataset – just like a real data scientist.

Scenario: Micro‑Lending Startup

You’ve joined a micro‑lending startup that needs to decide whether to Approve or Deny a new loan application. Each row in our dataset has the following variables:

ApplicantID	CreditScore	MonthlyIncome	LoanAmount	Term (months)	Approved
A101	680	3000	5000	24	Yes
A102	720	4000	8000	36	No
A103	610	2500	3000	12	No
A104	760	5000	10000	48	Yes

This is just a small preview. In total, you’ll have a few hundred rows. You’ll need to:

Clean and split the data (like in your earlier modules).
Select an algorithm (KNN, Decision Tree, Random Forest, etc.) and tune it.
Evaluate your model on the test set.

Achieve a high enough accuracy, and you’ll earn a Gold, Silver, or Bronze badge! Ready to begin?