Help: Credit approval model in python


#1

I was given a task as part of interview for a Data Analyst, i really appreciate your thoughts. I never worked as a Data Analyst before, just started to learn.

The dataset (credit_data.csv) contains data for 690 customers that applied for credit
with a retail bank. There are 16 attributes captured for each customer; including a decision flag
which allows you to identify those customers which were approved for credit.

Task: Using this data construct a model that can be used to predict credit approval for new customers. (Python)

The data set fields are given bellow.

Gender
Age
ExistingDebt
Married
BankCustomer
EducationLevel
Ethnicity
YearsEmployed
PriorDefault (0,1)
Employed (1,0)
CreditScore
DriversLicence (0,1)
Citizen (g,p,s)
ZipCode
Income
Approved (1 or 0)