This project was completed as part of the CIT 650 "Intro To Big Data" course at Nile University.

Implement machine learning models which are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase.

Codebase for "Learn Bayesian Logistic regression from imbalanced data" post.

Project for applied classical ML course at the Weizmann institute

Code repository for the online course Machine Learning with Imbalanced Data

Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库

Evaluating ensemble performance in long-tailed datasets (Neurips 2023 Heavy Tails Workshop)

Many algorithms for imbalanced data support binary and multiclass classification only. This approach is made for mulit-label classification (aka multi-target classification). 🌻

Harmfulness recognition in Polish language tweets.

Deep Imbalance Learning via Fuzzy Transition and Prototypical Learning (imFTP, Information Sciences 2024)

Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库

(EMNLP 2023 Findings) Text2Tree: Aligning Text Representation to the Label Tree Hierarchy for Imbalanced Medical Classification.

Official implementation of Bagging Folds using Synthetic Majority Oversampling for Imbalance Classification

Predictors for Blood-Brain Barrier Permeability with resampling strategies based on B3DB database.

The Credit Card Fraud Detection project uses statistical techniques and machine learning for identifying fraudulent transactions. It includes data preprocessing, outlier detection using Boxplots and Z-scores, and a decision tree model. Evaluation goes beyond accuracy, considering precision, recall, F1-score, and ROC AUC.

Explore model selection in credit card transaction analysis with Reza Mousavi's Git project. Addressing class imbalance, it employs undersampling and features tree-based models, SVM, and logistic regression for effective fraud detection

The souce code of MICCAI'23 paper: Combat Long-tails in Medical Classification with Relation-aware Consistency and Virtual Features Compensation

Credit Card Fraud Detection using multiple classifiers and imbalance handlers for EE5610 Course

Twitter sentiment analysis with word2vec.

Fraud transaction detection using Machine Learning algorithms on highly imbalanced dataset