This repository consist of project based on PANDAS data analysis library TITLE : LOAN APPROVAL ANALYSIS.
PROBLEM STATEMENT: Dream Housing Finance Inc. specializes in home loans across different market segments - rural, urban and semi-urban . Thier loan eligibility process is based on customer details provided while filling an online application form. To create a targeted marketing campaign for different segments, they have asked for a comprehensive analysis of the data collected so far.
The dataset has details of 614 customers with the following 13 features
Feature Description : Loan_ID ----------Unique Loan ID, Gender--------- Male/Female, Married Applicant Married----- (Y/N), Dependents----- Number of dependents, Education------ Graduate/Under Graduate, Self_Employed-- Self employed (Y/N), ApplicantIncome -----Income of the applicant, CoapplicantIncome------ Income of the co-applicant, LoanAmount----- Loan amount in thousands, LoanAmountTerm--------- Term of loan in months, Credit_History--------- credit history meets guidelines}, Property_Area---------- Urban/Semi-Urban/Rural, Loan_Status------------ Loan approved (Y/N),
Why solve this project ?
After completing this project, you will have better grip on working with pandas. In this project you will apply following concepts. Dataframe slicing Dataframe aggregation Pivot table operation
FOLLOWING TASKS WERE PERFORMED WHILE ANALYSING THE DATASET : LOAD THE DATA , FIND THE MISSING VALUES ? , LOAN AMOUNT VS GENDER ? , Loan Approval vs Employment , Transform the loan tenure from months to years , Income/ Credit History vs Loan Amount
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