Statistical model that can predict the Loss Given Default(LGD) for borrowers
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Updated
Aug 28, 2024 - Jupyter Notebook
Statistical model that can predict the Loss Given Default(LGD) for borrowers
Classification and regression models for predicting the level of risk associated with extending credit to a borrower and the basic EPS amount respectively.
The growth of BNPL services and assess their impact on consumer spending habits and credit risk in the fintech sector
Application to finance
In 2019, more than 19 million Americans had at least one unsecured personal loan. Personal lending is growing at an extremely fast rate, and FinTech firms need to go through an organize large amounts of data in order to optimize lending. Python will be used to evaluate several machine learning models to predict credit risk. Algorithms such as Ra…
Machine Learning Model for Credit Risk Classification using Scikit Learn Logistic Regression
Credit Risk Analysis - PD Modelling
I'll use various techniques to train and evaluate a model based on loan risk. I will 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.
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.
Credit risk analysis for credit card applicants
This repository contains python code from scratch to develop the credit risk model for loan portfolio
CSCI316 Group assignment 1
Credit Risk Analysis using Python
The aim is to understand which are the key factors for a certain level of credit risk to occur. In addition, some ML models capable to predict the credit risk level for a company in an year - given past years data - have been built and compared.
Machine Learning pipelines are deployed to accomplish the objective of credit risk analysis.
All Main Projects
Credit risk analysis determines a borrower's ability to meet debt obligations and the lender's aim when advancing credit. The goal is to identify patterns that indicate if a person is unlikely to repay the loan or labeled as a bad risk through automated machine learning algorithms.
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