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.
Approved (1 or 0)