lendingclub

Loan Risk Prediction Neural Network and API

LendingClub API interface

ML Project for Data 245 (Predicting Loan Status)

Implmented Decision Trees and Random Forest on Lending club dataset and compared which algorithm performed better .

Basic Artificial Neural Network project to predict if a customer will pay back the loan.

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, whi…

Leakage-aware LendingClub default-risk prediction with logit, elastic net, CART, bagging, random forests, gains and lift screening, and cross-fitted DML.

End-to-end LendingClub Loan Analytics project using SQL, Python, Power BI, and Machine Learning to analyze loan performance and predict loan default risk.

Predicting loan defaults with Scikit-learn tuned models

EDA Project case study

An offline viewer for LendingClub notes statistics

This is a one layer neural network that predict whether a loan will be defaulted.

In this assignment, I have built and evaluate several machine-learning models to predict credit risk using free data from LendingClub. Credit risk is an inherently imbalanced classification problem (the number of good loans is much larger than the number of at-risk loans), so I needed to employ different techniques for training and evaluating mo…

Predicting the interest rate based on the credit history of a person

Quantifies how much of a credit scorecard's reported Gini is an artefact of only ever seeing approved applicants — and tests whether the four standard reject-inference corrections actually work, using a simulation with manufactured ground truth.

Reverse-engineers FICO scores and predicts interest rates from LendingClub loan data. Compares OLS, multi-task Ridge, and tuned XGBoost regression with MAE and R-squared benchmarks.

Hands-on data analysis project based on Lending Club

Implemented a Artificial Neural Network on the Lending Club dataset .

In this project, based on the historical data of customers, who has applied for loans, we will identify whether loan should be approved or not. This dataset belongs to Lending Club.