Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost
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Updated
Sep 4, 2022 - Jupyter Notebook
Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost
Applying machine learning to predict loan charge-offs on LendingClub.com
Explanatory Data Analysis and ML model building using Apache Spark and PySpark
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.
openNPL is an open source platform for the management of non-performing loans
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 hi…
Academic project for Advances in Data Science and Architecture course
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.
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.
This is a one layer neural network that predict whether a loan will be defaulted.
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
Exploratory data analysis of datasets available in Kaggle.(IPL dataset, Zomato dataset, Loan dataset, Telecom customer churn dataset)
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.
Built a distributed system which completes several objectives with given data to generate loan reports using Amazon Web Services, Apache Spark, Java and Python.
Lending-loan-data-dashboard : lending loan data club analysis and visualisation and creating a real time dashboard for live analysis
A program to take in loan level data and create a model which can predict probability of default
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.
AV Loan Prediction Hackathon
Reproducible code for slideshow presentation in web browser. You need to download the slides before viewing the presentation.
Knowledge Aggregators & Generators.
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