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predict-home-loan-sanction-amount

Problem Statement

  • Buying a house requires a lot of careful planning. Once we have finalized your budget and the house that we want to buy, we must ensure sufficient funds to pay the seller.

  • With rising property rates, most people avail home loans to buy their dream houses. The bank only lends up to 80% of the total amount based on a person's finances (salary, outgoing expenses, existing loans, etc.). We will need to make the rest of the payment yourself after the bank tells you how much they can lend.

  • We need to predicting loan amount that can be sanctioned to applicant based on available features.

Data Description

Columns Column Description
Customer ID Represents a unique identification number of a customer
Name Represents the name of a customer
Gender Represents the gender of a customer
Age Represents the age of a customer
Income (USD) Represents the income of a customer
Income Stability Represents whether a customer has a stable source of income
Profession Represents the profession of a customer
Type of Employment Represents the type of employment of a customer
Location Represents the current location that a customer resides
Loan Amount Request (USD) Represents the loan amount requested by a customer
Current Loan Expenses (USD) If a customer has any current active loans, then this represents the amount that a spends on these loans (monthly)
Expense Type 1 Represents a type of expense that a customer spends on (monthly)
Expense Type 2 Represents a type of expense that a customer spends on (monthly)
Dependents Represents whether a customer has any dependencies (spouse, parents, siblings, children, etc.)
Credit Score Represents the credit score of a customer
No. of Defaults Represents the number of time a customer has defaulted
Has Active Credit Card Represents if a customer has any active credit cards or not
Property ID Represents an identification number of a property
Property Age Represents the age of a property
Property Type Represents the type of property
Property Location Represents the location of a property
Co-Applicant Represents whether a customer has co-applicants
Property Price Represents the selling price of a property
Loan Sanction Amount (USD) Represents the loan sanctioned amount for a customer