smoteen

There are 0 repository under smoteen topic.

mdabbous88 / Credit_Risk_Analysis
Assess credit risk of applicants using supervised machine learning. Several different machine learning techniques such as SMOTE, SMOTEENN, RANDOM FOREST, EASY ENSEMBLE were applied, the models were assessed using accuracy score, precision and accuracy to choose the best technique that applies to this type of problem.
machine-learning supervised-machine-learning accuracy precision credit-risk smoteenn smoteen random-forest-classifier oversampling-technique undersampling-technique
Language:Jupyter Notebook 1
Aryanakh7 / Credit_Risk_Analysis
Analysis of a dataset using different techniques to train and evaluate models with unbalanced classes, aimed at reducing bias and predicting accurate credit risk.
machine-learning supervised-learning linear-regression logistic-regression confusion-matrix vector-machine scikit-learn custom-encoding decision-trees predictions ensemble-learning bootstrap-aggregation boosting smoteenn oversam smoteen oversampling undersampling
Language:Jupyter Notebook 0
emaynard10 / Credit_Risk_Analysis
Using supervised machine learning to predict credit risk. Trying oversampling, under sampling, combination sampling and ensemble learning to find the model with the best fit
python decision-trees ensemble-learning gradientboostedtrees labelencoder logistic-regression machine-learning oversampling pandas precision-recall standardscaler supervised-machine-learning clustering-algorithm confusion-matrix randomforestclassifier smoteen
Language:Jupyter Notebook 0
eric-blankinshp / Credit_Risk_Analysis_Supervised_ML
About Six different techniques are employed to train and evaluate models with unbalanced classes. Algorithms are used to predict credit risk. Performance of these different models is compared and recommendations are suggested based on results. Topics
balanced-random-forest imbalanced-learning machine-learning python scikit-learn smote smoteen unbalanced-data easy-ensemble-classifier
Language:Jupyter Notebook 0
JeffZimmerman / Credit_Risk_Analysis
This project applies supervised machine learning models to predict credit risk, and compare algorithm effectiveness in an unbalanced classification problem
machine-learning random-forest adaboost clustercentroids smoteen risk-analysis risk-modelling resampling data-analysis data-analytics python matplotlib numpy pandas
Language:Jupyter Notebook 0
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
Language:Jupyter Notebook 0
nickjlupu / Credit-Risk
Supervised scikit-learn machine learning models using several sampling techniques.
cluster-centroids-undersampling imblearn scikit-learn smote-sampling smoteen
Language:Jupyter Notebook 0
Peteresis / Credit_Risk_Analysis
Using Supervised Machine Learning algorithms to identify credit risks
machine-learning machine-learning-algorithms resampling-methods balanced-random-forest centroids ensemble-classifier ensemble-learning python smote smoteen jupyter-notebook pandas
Language:Jupyter Notebook 0
sjwedlund / Credit_Risk_Analysis
Apply machine learning to solve the challenge of credit risk
machine-learning imbalanced-learning scikit-learn randomoversampler smote clustercentroids smoteen balancedrandomforestclassifier easyensembleclassifier
Language:Jupyter Notebook 0
Wamuza1 / Credit_Risk_Analysis
Supervised Machin Learning Analysis using scikit-learn and imbalanced-learn libraries.
adaboost-classifier ensemble-classifier oversampling random-forest smote-sampling smoteen supervised-machine-learning undersampling
Language:Jupyter Notebook 0

smoteen

mdabbous88 / Credit_Risk_Analysis

Aryanakh7 / Credit_Risk_Analysis

emaynard10 / Credit_Risk_Analysis

eric-blankinshp / Credit_Risk_Analysis_Supervised_ML

JeffZimmerman / Credit_Risk_Analysis

NataliaVelasquez18 / credit-risk

nickjlupu / Credit-Risk

Peteresis / Credit_Risk_Analysis

sjwedlund / Credit_Risk_Analysis

Wamuza1 / Credit_Risk_Analysis