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This repository contains analysis and prediction of Loan dataset from my previous workplace and kaggle

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Trust-Ayeni/Finance-loan-Analysis

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Finance Loan Analysis and Prediction 💰💸

To get more info on the kaggle dataset please visit

About Dataset

Finance companies deals with some kinds of home loans. They may have their presence across urban, semi urban and rural areas. Customer first applies for home loan and after that company validates the customer eligibility for loan. Mostly 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, I have provided a data set to identify the customers segments that are eligible for loan amount so that they can specifically target these customers. Try to automate this Loan Eligibility Process.

  • 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- (Target) Loan approved (Y/N)

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This repository contains analysis and prediction of Loan dataset from my previous workplace and kaggle

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