About this document
Predicting Personal Loan Acceptance by blockmine223 is a document available to read on EtoBox.
The document describes a dataset from Thera Bank containing information on 5000 customers, focusing on their demographics and responses to a personal loan campaign, with only 9.6% acceptance. The bank aims to improve conversion rates of liability customers to personal loan customers through targeted marketing strategies. The objectives include exploratory data analysis, model training, and evaluation using various classification models to predict loan acceptance likelihood.
- Author
- blockmine223
- Language
- EN