This project builds a model to predict if Lending Club loans will be fully paid or charged off. Using completed loan data, it includes credit history and loan grades but excludes FICO scores and rejected loans due to limited data. Methodologies and results are documented for accuracy and fairness.

Machine learning model for predicting loan repayment using Lending Club data, leveraging TensorFlow for model creation and evaluation.

Minimizing bad-risk loan approvals by accurately predicting the applicant's credit risk to reduce financial losses and improve the decision-making process.

Prediction Of Loan Repayment using Sequential Neural Networks on Lending Club Dataset.

P2P

Lending Club's loan data analysis using data cleaning/wrangling to predictive modeling

Code for classifying whether someone can repay their loan to a banking institution using a supervised learning approach: Binning and Logistic Regression.

Mi primer paso en Ciencia de Datos: Default Crediticio LendingClub

Predictive Analysis of Lending Clubs loans to predict whether a loan may default or not using R

This app utilizes deep learning to predict the loan status of an applicant, whether it's "Fully Paid" or "Charged Off".

Default Prediction On LendingClub Dataset With Neural Network Classification Models

Lending Club Case Study for EPGP ML & AI

Default Prediction On LendingClub Dataset With XGBoost & Random Forest Classification Models

Lend to PPDAI borrowers automatically. (Discontinued)

A study, analysis and visualization of factors and relationships between those factors which determine the rate of interest and also if a person is a potential loan defaulter by using ML.

Using Machine learning models to classify the risk level of given loans

Case study to understand driving factors (or driver variables) behind loan default.

Repository containing IPython notebooks to Kaggle dataset - All Lending Club loan data

Analyzing credit card risk with machine learning models!

Case study on Lending Club data analysis to identify the loan applicants who defaulted on their loan