smote

nickkunz/smogn

Synthetic Minority Over-Sampling Technique for Regression

tgsmith61591/smrt

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

damianhorna/multi-imbalance

Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/

LaurentVeyssier/Credit-Card-fraud-detection-using-Machine-Learning

Detect Fraudulent Credit Card transactions using different Machine Learning models and compare performances

zunicd/Bank-Churn-Prediction

Bank customers churn dashboard with predictions from several machine learning models.

SudhakarKuma/Machine_Learning

A repository of resources for understanding the concepts of machine learning/deep learning. 

kaushalshetty/SMOTE

Synthetic Minority Over-sampling Technique

jiangnanboy/spark_data_mining

spark tutorial for big data mining。包括app流量运营分析、als推荐、smote样本采样、RFM客户价值分群、AHP层次分析客户价值得分、手机定位数据商圈挖掘、马尔可夫智能邮件预测、时序预测、关联规则、推荐电影好友等。

hk-mp5a3/Class-Imbalance

Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).

Tek-nr/AI-Based-Fraud-Detection

A fraud detection project that processes user or credit card data using machine learning and deep learning algorithms.

bhattbhavesh91/imbalance_class_sklearn

Address imbalance classes in machine learning projects.

georgedouzas/imbalanced-learn-extra

Implementation of novel oversampling algorithms.

MatteoM95/Default-of-Credit-Card-Clients-Dataset-Analisys

Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.

devrajkataria/Credit-Card-Fraud-Detection-ML-WebApp

nive927/Flight_Delay_Prediction

A two-stage predictive machine learning engine that forecasts the on-time performance of flights for 15 different airports in the USA based on data collected in 2016 and 2017.

timeamagyar/kdd-cup-99-python

Analysis and preprocessing of the kdd cup 99 dataset using python and scikit-learn

navneetkrc/Deep-Learning-Experiments-implemented-using-Google-Colab

Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets

earthat/Automatic-Digital-Modulation-Detection-

This repository presents the code for digital modulation detection in Communication networks

mjuez/approx-smote

Approx-SMOTE: fast SMOTE for Big Data on Apache Spark

atif-hassan/Regression_ReSampling

A python library for repurposing traditional classification-based resampling techniques for regression tasks

Ashutosh27ind/PGDDS-Capstone-Project

Credit Card Fraud Detection Project

RimTouny/Phishing-Attack-Detection-using-Machine-Learning

Advancing Cybersecurity with AI: This project fortifies phishing defense using cutting-edge models, trained on a diverse dataset of 737,000 URLs. It was the final project for the AI for Cybersecurity course in my Master's at uOttawa in 2023.

fischlerben/Machine-Learning-Credit-Risk

Machine-Learning project that uses a variety of credit-related risk factors to predict a potential client's credit risk. Machine Learning models include Logistic Regression, Balanced Random Forest and EasyEnsemble, and a variety of re-sampling techniques are used (Oversampling/SMOTE, Undersampling/Cluster Centroids, and SMOTEENN) to re-sample the data. Evaluation metrics like the accuracy score, classification report and confusion matrix are generated to compare models and determine which suits this particular set of data best.

ai-se/Smote_tune

ICSE'18: Tuning Smote

bcbi/ClassImbalance.jl

Sampling-based methods for correcting for class imbalance in two-category classification problems

ashomah/HR-Analytics

HR Analytics Dataset

shuLhan/go-mining

Data mining with Go.

ireneliu521/Credit-Card-Fraud_J2D_Project_Python

Apply 7 common Machine Learning Algorithms to detect fraud, while dealing with imbalanced dataset

sonnguyen129/Accident-Severity-Prediction

Predicting the severity of accident

basiralab/MV-LEAP

Multi-View LEArning-based data Proliferator (MV-LEAP) for boosting classification using highly imbalanced classes.

rikhuijzer/Resample.jl

An implementation of SMOTE

swordspoet/UCI_imbalanced_data

The machine learning project on UCI imbalanced data.

bayhaqy/analisa-sentimen

Application fo sentiment analysis using VADER and Support Vector Machine (SVM) with SMOTE

earthat/SMOTE-over-Sampling

This repository is for MATLAB code for balancing of multiclass data by SMOTE

bjhammack/masters-thesis-alzheimers-detection

My masters thesis where I built a model pipeline using a CNN, SVM, and a custom SMOTE oversampling technique to identify and classify Alzheimer's in brain CT scans.