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

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

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.

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.

Python Data Analytics, Machine Learning & Natural Language Processing

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

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.

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

Business Intelligence( BI) & Tableau

Loan eligibility prediction with Logistic Regression

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.

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

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

Loan Prediction using machine learning

Minimization of risk and maximization of profit on behalf of the bank

This a practice project for Classification model with different models like Logistic Regression, Decision Tree Classifier, Random Forest Classifier and Xgboost Classifier. At the end, Logistic Regression gave the best result.