GitHub / sidharth178 / Credit-Risk-Analysis-using-LightGBM-Classifier
The objective of this project is to determine the risk of default that a client presents and assign a risk rating to each client. The risk rating will determine if the company will approve (or reject) the loan application
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sidharth178%2FCredit-Risk-Analysis-using-LightGBM-Classifier
PURL: pkg:github/sidharth178/Credit-Risk-Analysis-using-LightGBM-Classifier
Stars: 4
Forks: 1
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 1.46 MB
Dependencies parsed at: Pending
Created at: over 4 years ago
Updated at: about 4 years ago
Pushed at: over 4 years ago
Last synced at: over 2 years ago
Topics: classification, data-analysis, extratreesclassifier, lazypredict, lightgbm, random-forest-classifier