GitHub topics: lendingclub-data
jojo142/LendingClubAnalysis
Lending Club's loan data analysis using data cleaning/wrangling to predictive modeling
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Dipti028/LendingClubCaseStudy
To identify if a person is likely to default or not.
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ArtTucker/Credit_Risk_Analysis
Credit risk analysis using scikit-learn and imbalanced-learn.
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minhtrang4078/Personal-Loan-Status-Prediction-App
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AyanPahari/Gradient-Boosting-on-the-Lending-Club-dataset.
In this Mini Project, we will explore the use of pre-processing methods and Gradient Boosting on the popular Lending Club dataset.
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Asheladia/classification_risky_business
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 models with imbalanced classes. You will see use of the imbalanced-learn and Scikit-learn libraries to build and evaluate models using the two following techniques: Resampling and Ensemble Learning.
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SashaFlores/Credit_Risk_Analysis
This project aims to build and evaluate several machine-learning models to predict credit risk using free data from LendingClub.
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davidtstill/Machine_Learning_LendingClub
Evaluating several machine-learning models to predict credit risk using LendingClub data.
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