cluster-centroids-undersampling

There are 0 repository under cluster-centroids-undersampling topic.

ashley-green1 / Credit_Risk_Analysis
Data preparation, statistical reasoning and machine learning are used to solve an unbalanced classification problem. Different techniques are employed to train and evaluate models with unbalanced classes.
machine-learning supervised-machine-learning confusion-matrix logistic-regression random-forest easy-ensemble-classifier smote-oversampler random-forest-classifier smoteenn cluster-centroids-undersampling random-over-sampling sklearn-library train-test-using-sklearn train-test-split encoding binary-encoding feature-importance
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BiancaTaisePommerening / Credit_Risk_Analysis-
Supervised Machine Learning
balanced-random-forest cluster-centroids-undersampling easy-ensemble-classifier imbalanced-learning machine-learning random-over-sampling scikit-learn smote smoteenn-combination pandas-dataframe python3
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cbrito3 / Credit_Risk_Analysis
Supervised Machine Learning and Credit Risk
ada-boost-classifier balanced-random-forest cluster-centroids-undersampling easy-ensemble-classifier imbalance-learning machine-learning machine-learning-algorithms naive-random-oversampler over-sampling precision-recall scikit-learn scikitlearn-machine-learning smote-oversampler under-sampling
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cmmgw / Credit_Risk_Analysis
balanced-random-forest cluster-centroids-undersampling collections easy-ensemble-classifier excel imbalanced-learn jupyter-notebook naive-random-oversampler numpy pandas pathlib python scikit-learn smote-oversampler smoteenn-combination supervised-machine-learning
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ed12rivera / Credit_Risk_Analysis
Extract data provided by lending club, and transform it to be useable by predictive models.
logistic-regression smote-oversampler cluster-centroids-undersampling smoteenn balanced-random-forest easy-ensemble-classifier accuracy-score
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lingumd / Credit_Risk_Analysis
Machine learning models for predicting credit risk in LendingClub dataset.
balancedrandomforestclassifier cluster-centroids-undersampling easyensembleclassifier imbalanced-learn machine-learning randomoversampler smote smoteenn confusion-matrix classification-report matplotlib-pyplot numpy pandas pathlib scikit-learn google-colab get-dummies
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LJD0 / Neural_Network_Charity_Analysis
A Deep Learning analysis to predict success of charity campaigns
cluster-centroids-undersampling deep-learning machine-learning neural-network pandas python smote-oversampler
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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.
loan-applications scikit-learn predicting-risk random-forest adaboost logistic-regression random-over-sampling cluster-centroids-undersampling supervised-machine-learning smoteen smote-sampling classification-models
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nickjlupu / Credit-Risk
Supervised scikit-learn machine learning models using several sampling techniques.
cluster-centroids-undersampling imblearn scikit-learn smote-sampling smoteen
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credit-risk-predictor
sarahm44 / credit-risk-predictor
Uses several machine learning models to predict credit risk.
balanced-random-forest cluster-centroids cluster-centroids-undersampling credit-risk easy-ensemble-classifier ensemble-learning fintech logistic-regression machine-learning naive-random-oversampler random-forest resampling smote smote-oversampler smoteenn-combination
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showkatewang / Credit_Risk_Analysis
Predicts credit risk of individuals based on information within their application utilizing supervised machine learning models
balanced-random-forest cluster-centroids-undersampling easy-ensemble-classifier machine-learning naive-random-oversampler python synthetic-minority-over-sampling
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StrawhatRA / Risky_Business
Credit Risk Analysis utilizing imbalanced classification machine learning models
cluster-centroids-undersampling data-science ensamble-methods logistic-regression machine-learning python random-forest resampling risk-analysis scikit-learn
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tyedem / Risky_Business
Credit Risk Analysis utilizing imbalanced classification machine learning models
finance machine-learning scikit-learn imbalanced-learn resampling ensemble-learning random-forest logistic-regression smote-oversampler smoteenn-combination cluster-centroids-undersampling easy-ensemble-classifier risk-analysis classification
Language:Jupyter Notebook