GitHub / WideSu / CreditRiskDetection
A data analysis project to classify whether an applicant is capable of paying a home loan by using 4 machine learning models (Logistic Regression, SVM, Random Forest and LGBM) and 1 deep learning model (DeepFM). We also drew some insights from the best model that can be useful for analysts in bank.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/WideSu%2FCreditRiskDetection
PURL: pkg:github/WideSu/CreditRiskDetection
Stars: 1
Forks: 0
Open issues: 2
License: None
Language: Jupyter Notebook
Size: 20.8 MB
Dependencies parsed at: Pending
Created at: over 3 years ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago
Topics: credit-risk-analysis, deepfm, kaggle-challenge, lightgbm-classifier, pytorch