GitHub topics: loan-risk-analysis
jeenakarmi/Riskify
A smart loan risk analyser with machine learning and a user-friendly UI to classify applicants as Risky or Non-Risky.
Language: Jupyter Notebook - Size: 56 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0
SuryaVamsi-P/Loan-Default-Prediction-System-Flask-ML
Built and deployed a Flask-based machine learning system to predict loan default risk using customer demographics and financial indicators. Applied advanced ensemble models like XGBoost and LightGBM to achieve ~99% accuracy. Designed a full-stack solution with real-time prediction capabilities, enabling faster, smarter loan decisions in banking.
Language: Python - Size: 185 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0
DalyaLami/credit-risk-classification
Use various techniques to train and evaluate a model based on loan risk. I’ll use a dataset of historical lending activity from a peer-to-peer lending services company to build a model that can identify the creditworthiness of borrowers.
Language: Jupyter Notebook - Size: 527 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
issacchan26/HouseLoanPrediction
Data Analysis and prediction on Kaggle dataset: House Loan Data Analysis-Deep Learning
Language: Python - Size: 35.2 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
BlueGranite/LoanRiskWebinar_Oct2020
Webinar Resources from the BlueGranite Loan Risk Analysis Webinar: Banking - Loan Risk Analysis using Machine Learning - October 21, 2020
Language: Jupyter Notebook - Size: 8.78 MB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0
