naive-random-oversampler

There are 0 repository under naive-random-oversampler topic.

Kenner82 / Credit_Risk_Analysis
Testing 6 different machine learning models to determine which is best at predicting credit risk.
ada-boost-classifier balanced-random-forest cluster-centroid-undersampling ensemble-learning naive-random-oversampler oversampling-algorithms smote-oversampler smoteenn-combination combination-sampling-algorithms undersampling-algorithms pandas python supervised-machine-learning
Language:Jupyter Notebook 1
BaileeRice / Credit_Risk_Analysis
using machine learning to assess credit risk
machine-learning balanced-random-forest easy-ensemble-classifier naive-random-oversampler smote-oversampler undersampling
Language:Jupyter Notebook 0
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
python numpy pandas pathlib collections scikit-learn imbalanced-learn supervised-machine-learning naive-random-oversampler smote-oversampler cluster-centroids-undersampling smoteenn-combination balanced-random-forest easy-ensemble-classifier excel jupyter-notebook
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Credit_Risk_Analysis
ramya-ramamur / Credit_Risk_Analysis
Determine supervised machine learning model that can accurately predict credit risk using python's sklearn library. Python, Pandas, imbalanced-learn, skikit-learn
random-forest ensemble-learning smote-oversampler smoteenn-combination easyensembleclassifier cluster-centroid-undersampling naive-random-oversampler balanced-random-forest python scikit-learn imbalanced-learning
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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
Language:Jupyter Notebook 0
shumph10 / Credit_Risk_Analysis
Established a supervised machine learning model trained and tested on credit risk data through a variety of methods to establish credit risk based on a number of factor
credit-risk credit-scoring easy-ensemble-classifier machine-learning naive-random-oversampler prediction-algorithm random-forest-classifier smote-sampling smoteenn
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Wall-E28 / credit_risk_analysis
The purpose of this analysis was to create a supervised machine learning model that could accurately predict credit risk using python's sklearn library.
risk random-forest precision accuracy-score recall smote smoteenn cluster-centroid-undersampling naive-random-oversampler ensemble-classifier python sklearn
Language:Jupyter Notebook 0
annette-blackburn / Credit_Risk_Analysis
Supervised Machine Learning Project
balanced-random-forest easy-ensemble-classifier imbalanced-learning machine-learning naive-random-oversampler scikit-learn smote-oversampler undersampling combination-under-over-sampling
Language:Jupyter Notebook
jharvey09 / Risky_Business_Peer_To_Peer_Lending
In this project, I will use credit risk models to assess the credit risk using peer-to-peer lending. Algorithms such as SMOTE, Naive Random Sampling, etc.
time-series-analysis linear-regression peer-to-peer credit-risk credit-fraud smote-sampling smoteenn-combination naive-random-oversampler
Language:Jupyter Notebook
vmieres / Machine-Learning
This repo is about Machine Learning and Classification
artificial-intelligence classification-report cluster-centroids credit-risk ensemble-classifier ensemble-machine-learning evaluating-models imbalance-classification logistic-regression machine-learning naive-random-oversampler oversampling resampling sklearn-classify sklearn-library smoteenn undersampling
Language:Jupyter Notebook