/Simple-Loan-Classification

This dataset contains various demographic and financial features that could be used to build a classification model for predicting loan approval or denial. The loan_status column serves as the target variable for the classification task.

Primary LanguageJupyter Notebook

Simple Loan Classification

Classifying whether a person is eligble for loan or not.
Some key factors that I found in this data are:-

  • The dataset was small hence the name simple loan classification
  • Occupation column had 38 unique values, which in my opinion won't help in the accuracy of the model
  • Customers whose loan applications were denied had a lower average income as compared to those who had their loan applications approved
  • This goes the same for credit score and age also.
  • Young customer's loan applications weren't being approved as frequently as older customers