Topic: loan-data Goto Github
Some thing interesting about loan-data
Some thing interesting about loan-data
loan-data,Academic project for Advances in Data Science and Architecture course
User: agrawal-priyank
loan-data,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.
User: ahmedelgamal0
loan-data,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.
User: akhilsn
loan-data,Simple loan payment calculator & stats
User: alexadam
Home Page: https://alexadam.dev/loans/
loan-data,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.
User: aliabdallah7
Home Page: https://loanprediction.streamlit.app/
loan-data,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.
User: anandanraju
loan-data,A program to take in loan level data and create a model which can predict probability of default
User: andrew-impell
loan-data,Predicting Loan Defaulters using various Classification Algorithms using Python (Numpy, Pandas, Sklearn, Matplotlib, Seabon)
User: arshmodak
loan-data,Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost
User: avannaldas
loan-data,Project-Based Internship by Rakamin Academy Batch November 2023.
User: baramizzo58
loan-data,Built a distributed system which completes several objectives with given data to generate loan reports using Amazon Web Services, Apache Spark, Java and Python.
User: berksudan
loan-data,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.
User: berksudan
loan-data,Created visualizations in python using plotly, seaborn, and matplotlib to understand the growing student debt crisis and infer factors aggravating it.
User: cvg1012
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.
User: diouaneabdallah
loan-data,The open-source lending infra
Organization: getcorefin
Home Page: https://corefin.com
loan-data,Analysis of Loan Data from Prosper
User: guptaharshnavin
Home Page: https://guptaharshnavin.github.io/Prosper-Loan-Data-Analysis/#/
loan-data,Knowledge Aggregators & Generators.
User: hamzaamjad
loan-data,AV Loan Prediction Hackathon
User: i-mein
loan-data,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.
Organization: ibmdevelopermea
loan-data,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
User: jannismueller
loan-data,It is the erlang implementation of Loan Screener project https://github.com/jejak/loanscreener.
User: jejak
loan-data,Applying machine learning to predict loan charge-offs on LendingClub.com
User: jgcorliss
Home Page: https://www.kaggle.com/wordsforthewise/lending-club
loan-data,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.
User: kaushikmaz
loan-data,Plotly showing total loan amount from each state in US, Bubble Map
User: mantej-singh
loan-data,ML analytics on PPP loan forgiveness data for businesses in DC. Completed as a group project for STAT-427: Statistical Machine Learning.
User: michaelhlew
loan-data,Analysis of Loan Data from Prosper
User: mohamedaamir
loan-data,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.
User: mohammedcha
loan-data,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.
User: muabdalaleam
loan-data,
User: nirupamaprv
loan-data,This repository contains a loan data analysis project utilizing SQL and Python for data visualization, EDA and machine learning
User: ohimaii
loan-data,Supporting material for the Open Risk Academy course: "Loan Level Templates Using Python"
Organization: open-risk-academy
loan-data,openNPL is an open source platform for the management of non-performing loans
User: open-risk
Home Page: https://www.openriskmanagement.com/opennpl-open-source-npl-platform-first-release/
loan-data,Lending-loan-data-dashboard : lending loan data club analysis and visualisation and creating a real time dashboard for live analysis
User: raghulkrishna
loan-data,Explanatory Data Analysis and ML model building using Apache Spark and PySpark
User: rohini2505
loan-data,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.
User: rupam-shil
loan-data,This is a one layer neural network that predict whether a loan will be defaulted.
User: samanvay96
loan-data,Exploratory data analysis of datasets available in Kaggle.(IPL dataset, Zomato dataset, Loan dataset, Telecom customer churn dataset)
User: santanukumar666
loan-data,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.
User: susmithagudapati
loan-data,Predict whether a client will pay back with Random Forest
User: tabbied
loan-data,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.
User: thecanniestbadge
loan-data,Reproducible code for slideshow presentation in web browser. You need to download the slides before viewing the presentation.
User: trulsmoller
loan-data,Minimization of risk and maximization of profit on behalf of the bank
User: vatshayan
Home Page: https://www.finalproject.in/
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