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GitHub topics: cluster-centroids-undersampling

katewang1/Credit_Risk_Analysis

Predicts credit risk of individuals based on information within their application utilizing supervised machine learning models

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nickjlupu/Credit-Risk

Supervised scikit-learn machine learning models using several sampling techniques.

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sarahm44/credit-risk-predictor

Uses several machine learning models to predict credit risk.

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LJD0/Neural_Network_Charity_Analysis

A Deep Learning analysis to predict success of charity campaigns

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cbrito3/Credit_Risk_Analysis

Supervised Machine Learning and Credit Risk

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lingumd/Credit_Risk_Analysis

Machine learning models for predicting credit risk in LendingClub dataset.

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StrawhatRA/Risky_Business

Credit Risk Analysis utilizing imbalanced classification machine learning models

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tyedem/Risky_Business

Credit Risk Analysis utilizing imbalanced classification machine learning models

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NataliaVelasquez18/credit-risk

The purpose of this study is to recommend whether PureLending should use machine learning to predict credit risk. Several machine learning models are built employing different techniques, then they are compared and analyzed to provide the recommendation.

Language: Jupyter Notebook - Size: 18.5 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0