We attempted Challenge on Loan Prediction. Details at https://datahack.analyticsvidhya.com/contest/practice-problem-loan-prediction-iii/#ProblemStatement
Domain: Finance Credit Risk
Problem Statement: How to decide whether to approve loan or not?
Existing Alternative: Loan Officer
Proposed Solution: Using Machine Learning binary classifier to predict to predict whether a loan application will be approved by Dream Housing Finance Company
Key metrics: Accuracy
Target Customer: Banks and Financial Institutions
Purpose: To automate the loan eligibility process
Data Source: [Kaggle] (https://www.kaggle.com/ninzaami/loan-predication/home)
The python code and the data file is on github.
Classification Accuracy on Logistic Regression Model obtained was 77.78%