Amazon SageMaker Solution for explaining credit decisions.

A Classification Problem which predicts if a loan will get approved or not.

This repo contains my loan approval prediction project in Python.

[Project repo] Improving business with a credit risk model

This project automates bank credit risk assessment using AI and machine learning models to predict loan defaults. It streamlines the credit process with predictive analytics, model evaluation, explainability (SHAP), and deployment readiness.

Loan Application Prediction through machine learning moldes : Logistic Regression, Random Forest, DecisionTree,

Python Data Analytics, Machine Learning & Natural Language Processing

In this Notebook , We are going to solve the Loan Approval Prediction.This is a Classification problem in which we need to classify whether the loan will be approved or not.

Should you get a loan? Will you pay on time?

Loan eligibility prediction in Lasiandra Finance Inc. (LFI) using SAS studio.

贷款计算器 & 还贷模拟器。支持商贷/公积金/组合贷、等额本息/等额本金/自由还款三种方式，可多次利率变更和提前还款并按天精确计息。提供还款模拟（智能分析最优方案）、机会成本分析（提前还款 vs 投资理财）、多方案对比、数据可视化。内置 LPR 利率表，数据全部本地运算及存储，PWA 离线可用。

Business Intelligence( BI) & Tableau

What's up This project was mainly training my self on training ML models 🤖 and also to train on doing EDA 📜 to get the acceptance of the loan.

Loan eligibility prediction with Logistic Regression

Built a Logistic Regression model in R to predict housing loan approvals using financial and demographic data. Performed data preprocessing, feature engineering, and model evaluation using ROC curve and confusion matrix. Achieved ~74% accuracy, showcasing the effectiveness of ML in loan decision-making.

In this project, I analyzed the prosper load data, studied the trends and concluded that monthly income, loan amount and borrower's rate significantly affect the prosper rating and a good predictors of delinquency.

It is a classification problem where we have to predict whether a loan would be approved or not.

I’d be walking us through Loan prediction using some selected Machine Learning Algorithms.

This project will approved or reject the loan applications. Public api, data insights and predictive models for loan prediction project are also provided

In this data science project, we will predict borrowers chance of defaulting on loans by building a default prediction model.