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Gopikrishna Yadam
As our target audience are the people who has an idea on programming, I started my
approach in a backtracking manner to show what type of concepts are required in real time
(code), by taking the solution of an online data science competition problem statement,
which will help us to know the topics to go through in the near future.
Problem Statement: A company named X deals in all home loans. They have presence
across all urban, semi urban and rural areas. Customer first apply for home loan after that
company validates the customer eligibility for loan.
Problem
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.
Data
Variable
Description
Loan_ID
Unique Loan ID
Gender
Male/ Female
Married
Applicant married (Y/N)
Dependents
Number of dependents
Education
Applicant Education (Graduate/ Under Graduate)
Self_Employed
Self employed (Y/N)
ApplicantIncome
Applicant income
CoapplicantIncome
Coapplicant income
LoanAmount
Loan amount in thousands
Loan_Amount_Term
Term of loan in months
Credit_History
credit history meets guidelines
Property_Area
Urban/ Semi Urban/ Rural
Loan_Status
Loan approved (Y/N)
Solution for the above problem statement:
#CODE1
The first and foremost thing to build solution is to understand the distribution of the data,
by slicing and dicing with its variables. We should understand how each variable is impacting
the target variable. This area is called as DATA ANALYSIS.
So please try to concentrate more on this area, we can use Tableau, PowerBI and Excel etc.,
it is up to us on what we choose.
