信用卡客户数据集

信用卡客户数据集

原文：

Credit Card customers

Predict Churning customers

A manager at the bank is disturbed with more and more customers leaving their credit card services. They would really appreciate if one could predict for them who is gonna get churned so they can proactively go to the customer to provide them better services and turn customers' decisions in the opposite direction

I got this dataset from a website with the URL as I have been using this for a while to get datasets and accordingly work on them to produce fruitful results. The site explains how to solve a particular business problem.

Now, this dataset consists of 10,000 customers mentioning their age, salary, marital_status, credit card limit, credit card category, etc. There are nearly 18 features.

We have only 16.07% of customers who have churned. Thus, it's a bit difficult to train our model to predict churning customers.

译文：

信用卡客户

预测客户流失

越来越多的顾客离开了他们的信用卡服务，这家银行的经理感到不安。如果有人能帮他们预测谁会被搅动，这样他们就能主动去找客户，为他们提供更好的服务，并将客户的决策转向相反的方向，他们会非常感激。

我从一个网址为https://leaps.analyttica.com/home。我已经用它来获取数据集了一段时间，并相应地对它们进行了研究，以取得丰硕的成果。该网站解释了如何解决一个特定的业务问题。

现在，这个数据集由10000个客户组成，包括他们的年龄、薪水、婚姻状况、信用卡限额、信用卡类别等，共有近18个特征。

我们只有16.07%的客户流失。因此，训练我们的模型来预测客户流失有点困难。

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