anonymized loan applications USA_ETL

Bank Customer Dataset for Personal Loan Prediction
This dataset contains demographic, financial, and behavioral data of 5,000 bank customers collected during a marketing campaign aimed at offering personal loans. The primary objective is to predict whether a customer accepted the personal loan offer (personal_loan), making this a supervised binary classification problem.

The dataset includes 14 features such as age, income, credit card usage, education level, mortgage value, and account ownership information. It can be used for machine learning tasks such as classification modeling, feature selection, customer segmentation, and marketing analytics.

用于个人贷款预测的银行客户数据集
本数据集收录了某个人贷款营销推广活动中收集的5000名银行客户的人口统计、财务及行为数据。其核心目标为预测客户是否接受了个人贷款邀约（personal_loan），因此属于监督式二分类任务。
该数据集共包含14项特征，涵盖年龄、收入、信用卡使用情况、教育水平、抵押贷款金额以及账户持有信息等维度，可应用于分类建模、特征选择、客户细分以及营销分析等机器学习任务。