Topic: loan-default-prediction Goto Github
Some thing interesting about loan-default-prediction
Some thing interesting about loan-default-prediction
loan-default-prediction,Supervised Learning Practice on Borrowers Behaviour
User: aaronxxx1024
loan-default-prediction,The project provides a complete end-to-end workflow for building a binary classifier in Python to recognize the risk of housing loan default. It includes methods like automated feature engineering for connecting relational databases, comparison of different classifiers on imbalanced data, and hyperparameter tuning using Bayesian optimization.
User: abhishekdbihani
loan-default-prediction,A repository for the trainee @ codesquad. This repository contains projects that will be executed by trainees to certify that they have master what has been taught to them
User: abuton
loan-default-prediction,Loan Default Prediction using PySpark, with jobs scheduled by Apache Airflow and Integration with Spark using Apache Livy
User: alanchn31
loan-default-prediction,Southern Data Science Conference Attempt 2020
User: alvimahmud-osu
loan-default-prediction,Create a model that predicts whether or not a loan will be default using the historical data.
User: amogh9594
loan-default-prediction,In this project I applied various classification models such as Logistic Regression, Random Forest and LightGBM to accurately detect and classify consumers who will default the loan. SMOTE technique is used to combat class imbalance and LightGBM is implemented that resulted into the highest accuracy 98.89% and 0.99 F1 Score.
User: archd3sai
loan-default-prediction,Streamlit_ML_DL
User: ashishpatel26
loan-default-prediction,In this data science project, we will predict borrowers chance of defaulting on loans by building a default prediction model.
User: ashley-j-george
loan-default-prediction,Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost
User: avannaldas
loan-default-prediction,Supervised Machine Learning model predicting loan default using Logistic Regression.
User: botdotpy
loan-default-prediction,[Project repo] Improving business with a credit risk model
User: brunokatekawa
loan-default-prediction,L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’ organised by Analytics Vidhya
User: buntys2010
loan-default-prediction,Loan eligibility prediction in Lasiandra Finance Inc. (LFI) using SAS studio.
User: caesarmario
loan-default-prediction,datawhale&科大讯飞举办的学习挑战赛————“车辆贷款违约预测挑战赛” Rank4 方案
User: curiosity30
Home Page: https://challenge.xfyun.cn/topic/info?type=car-loan&ch=dc-web-banner01
loan-default-prediction,Lending Club Loan data analysis
User: harishpuvvada
loan-default-prediction,Loan Management System and daily collection Api For Financial institutions.
User: harmonizerblinks
Home Page: https://dedawa.acyst.tech/swagger
loan-default-prediction,Applying machine learning to predict loan charge-offs on LendingClub.com
User: jgcorliss
Home Page: https://www.kaggle.com/wordsforthewise/lending-club
loan-default-prediction,Data Science Challenge from Coursera Project : Loan Default Prediction
User: johnsonhk88
loan-default-prediction,This repository contains a starter notebook for the DSN AI Bootcamp Qualification Hackathon
User: jugg097
loan-default-prediction,The loan is a core part of every business today. This system will help the bank identify the royal customer for their bank and bank to contribute more to our GDP.
User: kz2511
loan-default-prediction,Underwriting Loan Doc Generator: Business and Real Estate Investment DL App
User: lapuzshawn
loan-default-prediction,Capstone Project: Predicting default in P2P lending
User: lemoinef
loan-default-prediction,The objective of this project is to predict the probability of borrower defaulting on a vehicle loan in the first EMI (Equated Monthly Installments) on the due date.
User: lord-shaz
loan-default-prediction,A simple sample program that will determine an applicant's eligibility for a loan.
User: lussierc
loan-default-prediction,Classification Credit Scoring with Compare Algorithm ML (Ensambled) with Model Evaluation
User: michstg
loan-default-prediction,
User: nataberishvili
loan-default-prediction,A Classification Problem which predicts if a loan will get approved or not.
User: naveen-chauhan
loan-default-prediction,Predicting the default customers
User: niranjankumar-c
loan-default-prediction,
User: phequals7
loan-default-prediction,Tool demonstrating building credit risk models
User: pkiage
Home Page: https://huggingface.co/spaces/pkiage/credit_risk_modeling_demo
loan-default-prediction,Business Intelligence( BI) & Tableau
User: poudeldinesh
loan-default-prediction,L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’ organised by Analytics Vidhya
User: rajat5ranjan
loan-default-prediction,Lending Club Loan Default Analysis using historic loan applications data.
User: rbhatia46
loan-default-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.
User: richardwarepam16
loan-default-prediction,
User: rishikksh20
loan-default-prediction,Uni-variate and Bi-variate analysis to understand the driving factor behind loan default
User: riyasql
loan-default-prediction,
User: saiyesaswym
loan-default-prediction,This app utilizes deep learning to predict the loan status of an applicant, whether it's "Fully Paid" or "Charged Off".
User: sajid030
Home Page: https://sajid030-lending-club-loan-prediction-app-428myv.streamlit.app/
loan-default-prediction,
User: sharmatanesh
loan-default-prediction,:blue_book: Detailed Exploratory Data Analysis of Lending Club Loan Data
User: sidjain1412
loan-default-prediction,Classification problem to predict loan defaulters using Lending Club Dataset
User: sonarsushant
loan-default-prediction,This repository contains all material related to the project done as a part of the course Introduction to Data Analytics (MS4610) in the Fall 2020 semester.
User: sowmyamanojna
Home Page: https://sowmyamanojna.github.io/Loan-Default-Prediction/
loan-default-prediction,Machine Learning Key Projects
User: sunilappanaboyina
Home Page: https://github.com/SunilAppanaboyina/MachineLearning
loan-default-prediction,Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discrete variables using various techniques depending on the feature. Checked for missing values and cleaned the data. Built the probability of default model using Logistic Regression. Visualized all the results. Computed Weight of Evidence and price elasticities.
User: vishnukanduri
loan-default-prediction,Loan Default Prediction, Individual Level Loan Data, Machine Learning, Logistic regression, Ridge, LASSO, Gradient Boosting, SVM, Random Forest
User: xuanyin
loan-default-prediction,Build Machine Learning Models for Loan Default Prediction using different algorithms including Decision Tree, K Nearest Neighbor,Support Vector Machine, Logistic Regression. And then evaluate the different model performances to choose the best one for production.
User: yanglei2586
loan-default-prediction,
User: yanxiali
loan-default-prediction,LTFS Data Science FinHack ( ML Hackathon)
User: yashkim77
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.