银行

银行客户相关数据相关数据看下面数据集都有可以参考，赛题以银行产品认购预测为背景，想让你来预测下客户是否会购买银行的产品。在和客户沟通的过程中，我们记录了和客户联系的次数，上一次联系的时长，上一次联系的时间间隔，同时在银行系统中我们保存了客户的基本信息，包括：年龄、职业、婚姻、之前是否有违约、是否有房贷等信息，此外我们还统计了当前市场的情况：就业、消费信息、银行同业拆解率等。用户购买预测是数字化营销领域中的重要应用场景，通过这道赛题，鼓励学习者利用营销活动信息，为企业提供销售策略，也为消费者提供更适合的商品推荐。

All relevant data regarding bank customers are contained in the following dataset for reference. The competition task is centered on the scenario of bank product subscription prediction, which requires predicting whether a customer will purchase bank products. During customer communication, we recorded the count of customer contacts, the duration of the last contact, and the time elapsed since the last contact. Meanwhile, the bank’s system preserves customers’ basic information, including age, occupation, marital status, prior default history, whether the customer holds a housing loan, and other relevant details. Additionally, current market metrics are collected, such as employment status, consumption information, inter-bank offered rates, and other related indicators. Customer purchase prediction is a critical application scenario in the domain of digital marketing. Through this competition task, learners are encouraged to utilize marketing campaign data to formulate targeted sales strategies for enterprises and deliver more suitable product recommendations for consumers.

搜集汇总

背景与挑战

背景概述

该数据集是一个用于银行产品认购预测的机器学习竞赛数据集，旨在预测客户是否会购买银行产品。数据包含客户联系记录、基本信息（如年龄、职业、婚姻状况）以及市场指标（如就业和消费信息），适用于分类任务，以支持数字化营销策略和商品推荐。数据集提供训练、测试和提交文件，便于模型开发和评估。