https://github.com/maxhalford/pytorch-resample

🎲 Iterable dataset resampling in PyTorch

imbalanced-learning oversampling pytorch resampling undersampling

Last synced: 17 Jul 2025

https://github.com/MaxHalford/pytorch-resample

🎲 Iterable dataset resampling in PyTorch

imbalanced-learning oversampling pytorch resampling undersampling

Last synced: 08 May 2025

https://github.com/NestorRV/undersampling

A Scala library for undersampling in imbalanced classification.

algorithm classification imbalance-learning nearest-neighbor-rules undersampling

Last synced: 11 May 2025

https://github.com/gulabpatel/handle_imbalance

cost-sensitive cost-sensitive-classification oversampling smote-sampling undersampling

Last synced: 26 Jun 2025

https://github.com/safaa-p/fraudulent-insurance-claims-detection

Different models to detect if a claim is fraudulent or not

decisiontreeclassifier gridsearchcv insurance logistic-regression machine-learning-algorithms naive-bayes-classifier smote-sampling supervised-machine-learning undersampling xgboost

Last synced: 05 Mar 2025

https://github.com/tanyachutani/credit-card-fraud-detection

Applied undersampling and oversampling using SMOTE.

credit-card-fraud-detection data-imbalance fraud-detection machine-learning oversampling smote undersampling

Last synced: 27 Feb 2025

https://github.com/alessandrosocc/machine-learning-project-2022

Final project for the Machine Learning course at the University of Cagliari in 2022. Analysis of a dataset, use of Machine Learning techniques with Oversampling and Undersampling techniques. Final report with the results obtained.

imblearn machine-learning matplotlib-pyplot oversampling pandas scikit-learn spambase-dataset undersampling

Last synced: 18 Jan 2026

https://github.com/desininja/employee-attrition-analysis

To know the main reasons for attrition of employees.

attrition classification classifier data-analytics data-science data-visualization hr hr-analytics imbalanced-data logistic-regression smote smote-sampling undersampling

Last synced: 16 Oct 2025

https://github.com/shreyasbapat/undersample

A quick tool for undersampling arrays for datascience purposes

mri undersampling

Last synced: 29 Mar 2025

https://github.com/jianninapinto/bandersnatch

This project implements a machine learning model using Random Forest, XGBoost, and Support Vector Machines algorithms with oversampling and undersampling techniques to handle imbalanced classes for classification tasks in the context of predicting the rarity of monsters.

altair imbalanced-classification imblearn machine-learning mongodb oversampling pycharm-ide pymongo python random-forest-classifier scikit-learn smote support-vector-machines undersampling xgboost

Last synced: 29 Sep 2025

https://github.com/mohamedlotfy989/credit-card-fraud-detection

This repository focuses on credit card fraud detection using machine learning models, addressing class imbalance with SMOTE & undersampling, and optimizing performance via Grid Search & RandomizedSearchCV. It explores Logistic Regression, Random Forest, Voting Classifier, and XGBoost. balancing precision-recall trade-offs for fraud detection.

classic-machine-learning credit-card-fraud ensemble-learning fraud-detection grid-search-hyperparameters hyperparameter-tuning imbalanced-data logistic-regression precision-recall random-forest randomizedsearchcv smote threshold-tuning undersampling voting-classifier xgboost

Last synced: 19 Oct 2025