loan-data
There are 45 repositories under loan-data topic.
avannaldas/Loan-Defaulter-Prediction-Machine-Learning
Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost
jgcorliss/lending-club
Applying machine learning to predict loan charge-offs on LendingClub.com
Mohammedcha/Loan-calculator-bank-payment
Loan Calculator a small web application encoded in HTML, PHP, JS, and CSS. If you want to earn from BANK NICHE then you can use Loan Calculator script.
open-risk/openNPL
openNPL is an open source platform for the management of loan performance data
Rohini2505/Lending-Club-Loan-Analysis
Explanatory Data Analysis and ML model building using Apache Spark and PySpark
aliabdallah7/loan_prediction_ApplAi
Predict if your loan will be accepted or not. This happens by using a labeled data for applicants who applied for a loan before, analyzing these data and using some classification models on it.
Mantej-Singh/Plotting-Loan-Amount-Plotly-D3
Plotly showing total loan amount from each state in US, Bubble Map
agrawal-priyank/Machine-Learning-Models-For-Insurance-Loan-Applicants
Academic project for Advances in Data Science and Architecture course
alexadam/simple-loan-stats
Simple loan payment calculator & stats
muabdalaleam/loan-prediction
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.
santanukumar666/Data-analysis-projects
Exploratory data analysis of datasets available in Kaggle.(IPL dataset, Zomato dataset, Loan dataset, Telecom customer churn dataset)
susmithagudapati/Prosper-Loans-DataAnalysis
This project is on a data set from Prosper, which is America’s first marketplace lending platform, with over $7 billion in funded loans. This data set contains 113,937 loans with 81 variables on each loan, including loan amount, borrower rate (or interest rate), current loan status, borrower income, borrower employment status, borrower credit history, and the latest payment information. The main purpose of this project is to summarize the characteristics of variables that can affect the loan status and to get some ideas about the relationships among multiple variables using summary statistics and data visualizations.
berksudan/TUM-Analytics-Cup-2022-Winner-Versed-Chimpanzee
Our team (Versed Chimpanzee) came first among 340 people and 148 registered teams (119 teams did submission) in TUM Analytics Cup 2022 challenge sponsored by Siemens Advanta Consulting and organized by TUM Informatics Decision Sciences & Systems Department.
hamzaamjad/ilm-old
Knowledge Aggregators & Generators.
IBMDeveloperMEA/Loan-Bank-Transactions-Cognos-Embedded
This repo contains the materials for a workshop that shows how to gains insights and visualize data for a credit score/loan bank transactions use case.
Rupam-Shil/Loan-Prediction
Project idea – The idea behind this ML project is to build a model that will classify how much loan the user can take. It is based on the user’s marital status, education, number of dependents, and employments. We can build a linear model for this project.
Vatshayan/Btech-Loan-Predication-Project
Minimization of risk and maximization of profit on behalf of the bank
akhilsn/Exploratory-Data-Analysis-Forecasting
To understand how data could be used to minimize the risk of losing money while lending to customers for a Consumer Finance Company by applying Exploratory Data Analysis techniques.The aim is to identify patterns through Univariate/ Bivariate analysis to establish the driving factors that are indicate the borrower's loan defaulting tendency, which may be used for taking actions such as denying the loan, reducing the amount of loan, lending (to risky applicants) at a higher interest rate, etc.
andrew-impell/MBS-default-prediction
A program to take in loan level data and create a model which can predict probability of default
berksudan/Loan-Data-Report-with-AWS
Built a distributed system which completes several objectives with given data to generate loan reports using Amazon Web Services, Apache Spark, Java and Python.
dianakao/service-one-client
Villagr is an online directory of local small businesses and service providers. Unlike existing products, Villagr prioritizes listing by their injury and level of need, rather than rating or popularity.
JannisMueller/Exploration-Loan-Data-from-Prosper
This data set contains 113,937 loans with 81 variables on each loan, including loan amount, borrower rate (or interest rate), current loan status, borrower income, and many others
MohamedAamir/Propser_Loan_Data_Analysis
Analysis of Loan Data from Prosper
Open-Risk-Academy/Academy-Course-SME03030
Supporting material for the Open Risk Academy course: "Loan Level Templates Using Python"
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.
arshmodak/Loan-Defaulters-EDA-and-Prediction-using-ML
Predicting Loan Defaulters using various Classification Algorithms using Python (Numpy, Pandas, Sklearn, Matplotlib, Seabon)
brendancsmith/credit-risk-modeling
Credit Risk Modeling using XGBoost in Python
DiouaneAbdallah/Decision-Trees-Random-Forest-loan-data
This project uses lending data from LendingClub.com to determine if potential customers will successfully pay off a loan after entering a lending agreement. Our main goal will be to compare two models: one created using a single decision tree, the other using a random forest.
guptaharshnavin/Prosper-Loan-Data-Analysis
Analysis of Loan Data from Prosper
michaelhlew/PPP_Analysis
ML analytics on PPP loan forgiveness data for businesses in DC. Completed as a group project for STAT-427: Statistical Machine Learning.
ohimaii/Credit-Risk-Data-Project
This repository contains a loan data analysis project utilizing SQL and Python for data visualization, EDA and machine learning
patriciavalentine/LOAN-DATA-QUERIES
In this project, I analyzed a vehicle loan dataset using BigQuery to identify demographic, financial, and loan patterns. Through SQL queries, I extracted insights such as the credit scores, and loan distribution by region, and explored high-risk profiles. The findings are visualized in Looker Studio, thus helping to inform strategic decisions.
anandanraju/Eligibility_Validation_Report_Model_for_Borrowing_Money_From_Bank
In simple, a Loan (borrowing money from a bank) is the sum of money that you borrow from the bank or lending financial institution in order to meet needs. These needs could result from planned or unplanned events, and by borrowing, you incur a debt that you have to pay within the agreed duration on your contract.
baramizzo58/VIX-IDX-Partners-Data-Scientist
Project-Based Internship by Rakamin Academy Batch November 2023.
KaushikMaz/Loan_Analysis
A consumer Finance Company lends loan to various Urban customers for various purposes. By using EDA, we are trying to find in historical dataset, the driving variables responsible for the loan default. The company can utilise this knowledge for its portfolio and risk assessment.
Thecanniestbadge/Loan-schedule
This program is mainly used to figure out loan schedules for clients and can be used both by clients and loan providers to both show and save a document that has the loan schedule on it.