1.1) Scope of the study
Assists the lender in analyzing the situation.
Gives better services for use.
Reduce the risk factor by choosing the right person.
Gives the personal data of customers.
Save time and money for the lender.
1.2) Objectives of the Research
Broad Objective: Predict loan approval with specific features.
Specific Objectives:
To identify credit risks for loan prediction
To try different machine learning model to loan prediction
To ensure maximum accuracy from the model
1.3) Problem Statement
Company wants to automate the loan eligibility process (real time) based on
customer details (Age, past health records, as well as the type of occupation they
have will be utilized to evaluate the ambiguity factor of paying debts) provided
while filling online application form.
1.4) Research Questions
Which Machine Learning model gives the best result to Loan Prediction?
What is the accuracy of the designed model?
