python 逻辑回归案例_Python中的逻辑回归-案例研究
python 逻辑回归案例
Python中的逻辑回归-案例研究 (Logistic Regression in Python - Case Study)
Consider that a bank approaches you to develop a machine learning application that will help them in identifying the potential clients who would open a Term Deposit (also called Fixed Deposit by some banks) with them. The bank regularly conducts a survey by means of telephonic calls or web forms to collect information about the potential clients. The survey is general in nature and is conducted over a very large audience out of which many may not be interested in dealing with this bank itself. Out of the rest, only a few may be interested in opening a Term Deposit. Others may be interested in other facilities offered by the bank. So the survey is not necessarily conducted for identifying the customers opening TDs. Your task is to identify all those customers with high probability of opening TD from the humongous survey data that the bank is going to share with you.
考虑到一家银行会与您联系，开发一种机器学习应用程序，这将帮助他们确定可能与他们一起开立定期存款(某些银行也称为定期存款)的潜在客户。 银行定期通过电话或网络表格进行调查，以收集有关潜在客户的信息。 该调查本质上是一般性的，针对的受众非常广泛，其中许多人可能不愿与该银行本身打交道。 在其余的帐户中，只有少数几个有兴趣开设定期存款。 其他人可能会对银行提供的其他服务感兴趣。 因此，不一定需要进行调查来识别开通TD的客户。 您的任务是从银行将与您共享的庞大调查数据中识别出所有可能开通TD的客户。
Fortunately, one such kind of data is publicly available for those aspiring to develop machine learning models. This data was prepared by some students at UC Irvine with external funding. The database is available as a part of UCI Machine Learning Repository and is widely used by students, educators, and researchers all over the world. The data can be downloaded from here.
幸运的是，有这样一种数据可供有志开发机器学习模型的人使用。 该数据是由加州大学欧文分校的一些学生在外部资助下准备的。 该数据库可作为UCI机器学习存储库的一部分获得，并被全世界的学生，教育者和研究人员广泛使用。 数据可以从这里下载。
In the next chapters, let us now perform the application development using the same data.
在下一章中，让我们现在使用相同的数据执行应用程序开发。
python 逻辑回归案例