Credit scoring machine learning algorithm which predicts probability of default
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Updated
Nov 19, 2017 - Jupyter Notebook
Credit scoring machine learning algorithm which predicts probability of default
NearOracle Python backend - Credit scoring algorithm
Development of a credit scoring model
AI-powered corporate credit decisioning engine for Indian banking. Ingests financial PDFs → deterministic Five Cs scoring → explainable CAM PDF — grounded in RBI, GST, and MCA regulations.
While giving credit scores to applicants on their loan applications, Bankers can have trust issues over Machine Learning models and they can find those models intransparent and unreliable. To address transparency issues in credit worthiness, this project uses Explainable AI to bring interpretability in Machine Learning models.
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