Analyzed over 1 million credit applications to identify potential credit default customers using ensemble learning and segmentation Developed model to classify stale customers with 96% accuracy which could help the business reduce number of debt consolidation applications and identify loan categories susceptible to defaults
Files: Loan_Prediction.ipynb, Loan_Prediction.html
P.S: The dataset uploaded here is a subset of the main file because the size of the original dataset is greater than 25 M.B. However if you want to have a look on the actual dataset please click on the link below https://www.kaggle.com/wendykan/lending-club-loan-data
P.S: Loan_Prediction.html file shows the detailed report for the analysis