Loan Application Data

About data set

Among all industries, Banking domain has the largest use of analytics & data science methods. This data set would provide you enough taste of working on data sets from insurance companies and banks, what challenges are faced, what strategies are used, etc. This is a classification problem. The data has 615 rows and 14 features to predict weather loan approved or not approved.

Company wants to automate the loan eligibility process (real time) based on customer detail provided while filling online application form. These details are Gender, Marital Status, Education, Number of Dependents, Income, Loan Amount, Credit History and others. To automate this process, they have given a problem to identify the customers segments, those are eligible for loan amount so that they can specifically target these customers. Here they have provided a partial data set.

I would like to thanks to UCI data science community to inspire me.