GitHub topics: loan-prediction-analysis

Repositories

reazslayer05/Loan-Approval-Strategy-Optimization

The goal is to predict whether a loan application will be approved or denied based on various applicant features and financial data

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Elakkiya-U/Loan-Approval-Strategy-Optimization

The goal is to predict whether a loan application will be approved or denied based on various applicant features and financial data

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awslabs/sagemaker-explaining-credit-decisions

Amazon SageMaker Solution for explaining credit decisions.

Language: Python - Size: 2.77 MB - Last synced at: 3 days ago - Pushed at: about 2 years ago - Stars: 97 - Forks: 28

RoshniRanaDS27/Loan_Status_Prediction_Using_Machine_Learning

An end-to-end machine learning project that predicts loan approval status based on customer profiles. Developed with Python and scikit-learn, it encompasses data preprocessing, feature scaling, model training, evaluation, and hyperparameter tuning. The project also features a user-friendly GUI for seamless user interaction.

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iamratinder/servolend-analysis

Generating a detailed analysis in case a person is not eligible for a loan using Large Language Model and Loan-default-prediction model deployed as API

Language: Python - Size: 12.7 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

rohitinu6/Loan-Approval-Prediction

This project predicts the likelihood of loan approval based on applicants' financial and demographic data.

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abhishekpsonawane07/Loan-Repayment-Prediction-ML

Loan Approval Prediction uses machine learning to analyze factors like income and credit history, automating and improving the loan approval process. The project ensures accurate, efficient, and user-friendly predictions with a Gradio interface.

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syaphirafaza/FinalProjectDataScience

Predicting Loan Approval: A Classification Analysis

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BhaveshBhakta/Loan-Eligibility-Prediction-Using-ML

Loan Eligibility Prediction Using ML

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sachnaror/mortgage-app-calculator

Crunch numbers, not your dreams! This Advanced Mortgage Calculator is your financial GPS, adjusting for credit scores, taxes, and property quirks. Fast, accurate, and fun to use—because who said adulting can’t come with a sleek UI and a touch of financial wizardry? 🏠✨

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Yogaaprila/Home-Credit-Indonesia-Scorecard-Modeling

This project aim is to facing challenges in ensuring that customers who can repay their loans are not rejected to increase profitability, while also identifying customers likely to face repayment issues to minimize loans granted to unqualified customers and reduce potential losses.

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huacenxu/Predict-Loan-Status

Using the Cross-Industry Standard Process of Data Mining (CRISP-DM), this project analyzes loan data from Prosper to identify key factors that predict loan status.

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VictoorV/Risques_financiers

Classification pour l'attribution ou non de prêts financiers et prédiction de scores de risque.

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BhaveshBhakta/Loan-Credit-Prediction-Using-ANN

Loan Credit Prediction Using ANN

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rosaaestrada/Loan-Default-Feature-Analysis

Logistic Regression, Random Forest, and Decision Tree to predict what factors influence loan default in the U.S.

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Vatshayan/Btech-Loan-Predication-Project

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

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NouranHaitham/ML_LoanPrediction

A notebook aimed to predict loan eligibility with high accuracy using advanced machine learning models including Logistic Regression and KNN.

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ibrahimgb/ML-Ops

Prévision de prêts, solution et déploiement

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krishcy25/PyCaret-ClassificationModels-LoanApprovalPrediction-AnalyticsVidhyaHackathon

This repository contains code to build 14 Classification Machine Learning Models to predict the decision of Loan Approval Process with PyCaret. Models are compared against the statistics (Accuracy, F1-Score), best model was picked, tuned, saved/loaded for model deployment and used to predict the observations on unseen data. The final file with predictions on unseen data was submitted to Analytics Vidhya Hackathon with model accuracy of 88%

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Abhinav330/Loan-Repayment-Analysis

This repository implements a machine learning workflow for predicting loan defaults using Python libraries: pandas, seaborn, matplotlib, and scikit-learn. It analyzes the loan_data.csv dataset to classify applicants as likely to default (binary classification).

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jayash1973/Advanced-Loan-Predictor

This is a machine learning project developed by Monali and Jayash Bhardwaj as a final group project for our internship at Hoping Minds. The project aims to predict loan approval based on various applicant features using a Random Forest Classifier.

Language: Python - Size: 305 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

mmsaki/credit-risks-ml

Using the imbalanced-learn and Scikit-learn libraries to build and evaluate machine learning models.

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aidanastridge/from-sas-to-python

All of these previous analyses were done in SAS. I transitioned them over to Python to practice the language.

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Jaydeep9596/Loan-Status-Prediction

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.

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10-kp/Loan_Lending_Prediction

This application leverages advanced deep learning techniques to predict the loan status of applicants. By analyzing historical loan data, it classifies each applicant's loan as either "Fully Paid" or "Charged Off."

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andrewjmack/credit-risk-classification

Supervised learning model trained and evaluated on loan risk for potential use in the prediction of the creditworthiness of an applicant

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Educorreia932-University/FEUP-AC

📊 M.EIC 2021/2022 - 1ˢᵗ year / 1ˢᵗ semester

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abdulwajed-farhat/Loan_Approval_Prediction

A real life project, predicting the approval of loan for a particular customer with particular features using logistic regression.

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MeghanPokorski/Loan-Default-Prediction

[Project Repo] Bank loan default prediction with machine learning models

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hari8github/projects

Used machine learning models to predict spam mails, loan, diabetes etc... also done web scraping, sentiment analysis, EDA. Have fun.

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NdAbdulsalaam/Prosper_loan_eda

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.

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dimasthoriq/lending-club-loan

Applying statistical data science methods into loan default prediction task

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AshwiniSenthilnathan/Loan-Predicton-Model

A predictive system for automating the loan approval process.

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Geo-y20/Loan-Approval-Automation-Using-MongoDB-and-PyMongo

This project demonstrates the implementation of a loan approval system that utilizes MongoDB for distributed data storage and management, and PyMongo for database operations. The project aims to automate the assessment of loan eligibility using customer details from online applications.

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mfathul21/loan-prediction

Loan Prediction Based on Customers Behaviour - Predict who possible Defaulters are for the Consumer Loans Product

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shubhanshu1995/Lending-Club-Case-Study

In this case study, we will use EDA to understand how consumer attributes and loan attributes influence the tendency of loan default.

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robertoyamanaka/FNMAPrepayment

We build a Tensorflow neural network model to predict loan level prepayment using data from Fannie Mae

Language: Python - Size: 4.81 MB - Last synced at: 12 months ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 1

Ashutosh27ind/creditAmountPredictionHackathon

Skillenza Upgrad DataScience Hackathon : Rank #18 in Leaderboard

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dhruwsunita/Loan-Eligibility-Prediction

Loan Status Prediction using Machine learning, Python

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alexandre-cruel/MLproject

Machine Learning

Language: Python - Size: 5.86 KB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 1

Priscram/Credit_Scorer

An app under development and open for other parties to contribute.

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fendy07/loan_streamlit

This project about deployment machine learning model Loan Approval Prediction using Streamlit

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SergioEstevao11/FEUP-AC

:chart: Bank Loan Prediction Project

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bamidele42/Machine_Learning_Projects

This repo contain Machine learning Projects

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LisaLi525/Loan-Company-Scorecard-Project

The "Comprehensive Machine Learning Framework in R" is an all-inclusive toolkit for data preprocessing, WOE calculation, and model evaluation, designed for robust machine learning applications and equipped with cross-validation and extensibility features.

Language: R - Size: 8.79 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

AntiKevin/LoanGeniusFrontend

Plataforma web para calcular e organizar empréstimos e investimentos pessoais

Language: Vue - Size: 565 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

prakashjha1/Loan-Eligibility-Prediction

This repository contains the codebase and resources for a machine learning-based project aimed at predicting loan eligibility for individuals. The project utilizes various algorithms and data preprocessing techniques to build predictive models that assess the likelihood of an applicant being eligible for a loan based on historical data.

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UjashLeuva/Loan_Grant_Automation_Prediction

Loan Grant Prediction

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erenonal/logistic_regression_loan_eligibility

Loan eligibility prediction with Logistic Regression

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galvinguy2002/Loan-Prediction-

Loan Prediction using machine learning

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muhammed-abdelaleam/Loan-prediction-project

This is my first completed ML project so it can be not super wow, but I am sure you will like it

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issacchan26/HouseLoanPrediction

Data Analysis and prediction on Kaggle dataset: House Loan Data Analysis-Deep Learning

Language: Python - Size: 35.2 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

rkstu/Loan_approval_amount_prediction

Developed a loan approval amount prediction model utilizing Decision Tree Regressor and Random Forest Regressor and Conducted exploratory data analysis (EDA) to identify key features.

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somenath203/Loan-Status-Prediction-Backend

Click below to visit the swagger docs of the website

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saqib772/Loan-Status-Prediction

Loan Status Prediction Using Machine Learning | End To End Machine Learning Project

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ahmedelgamal0/Loan-Eligibility-Prediction

Explaratory data analysis on the loan dataset. ML model to automate the loan eligibility process (real-time) based on customer detail provided while filling out online application forms.

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stankovix/Loan-Prediction

The project entails building a model that predicts if someone who seeks a loan might be a defaulter or a non-defaulter. We have several independent variables like, checking account balance, credit history, purpose, loan amount etc. Ensemble Models such as Bagging, AdaBoosting, GradientBoost, XGBoost, Random Forest etc will be used for the modelling

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Shalinee13/Logistic_regression-MachineLearning-model-

Welcome to the Logistic Regression Repository! This repository aims to provide a comprehensive collection of resources and code examples for logistic regression, a powerful statistical technique used for modeling and predicting categorical outcomes.

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dhrupad17/Loan-Status-Prediction

A Loan Status Prediction system is a machine learning model or application that predicts whether a loan application will be approved or rejected

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qwertysbk/Prediction

Predicting if Loan Would be granted or no , based on some given factors using Python

Language: Python - Size: 189 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

MahdiNavaei/Bank_Personal_Loan_Modelling

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sr9dc/Loan_Investments_Case_Study

Profitable Loan Investment Strategies Modeling Case Study

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triyoza/Loan-Prediction-HCI

A Final Task in Virtual Internship Experience Program: Data Scientist HOme Credit Indonesia

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ashik-e-rabbani/Loan-Prediction-Using-Machine-Learning

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

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kheller18/loan_calculator

Loan and financial calculator

Language: Python - Size: 5.86 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

naveen-chauhan/Loan-Prediction-Classification

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

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ayoub-berdeddouch/LoanApplication_Prediction

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

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brunokatekawa/credit_risk

[Project repo] Improving business with a credit risk model

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sahidul-shaikh/credit-eda-case-study

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

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caesarmario/loan-prediction-SAS-studio

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

Language: SAS - Size: 1.73 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

sanket1105/Loan-Approval-Prediction-Removing-Outliers-and-Comparing-Models-

everything about the code is explained through comments below or above the code written in the .ipynb file

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Kisalaykisu/Machine-Learning-Projects

Machine Learning - End to End Data Science Projects

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limchiahooi/loan-approval-prediction

This repo contains my loan approval prediction project in Python.

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RaziyeAkr/IBM-project-machine-leaning-LOAN

This notebook is a machine learning project with classification to recognize payment and non-payment.This project is related to the final project related to the IBM machine learning course that I took. I hope you enjoy it and find it useful.

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richardwarepam16/Loan-Prediction

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.

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suvkp/loan-renewal-prediction

The project aims to predict which clients will be applying for a loan

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anandanraju/Analysis_On_Loan_Prediction

Loan analysis is an evaluation method that determines if loans are made on feasible terms and if potential borrowers can and are willing to pay back the loan. It checks the eligibility of the potential borrower against the criteria set forth for lending.Loan analysis is an evaluation method that determines if loans are made on feasible terms and if potential borrowers can and are willing to pay back the loan. It checks the eligibility of the potential borrower against the criteria set forth for lending.

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