smote

There are 2 repositories under smote topic.

smote_variants
analyticalmindsltd / smote_variants
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
smote oversampling imbalanced-learning imbalanced-data
Language:Jupyter Notebook 643
nickkunz / smogn
Synthetic Minority Over-Sampling Technique for Regression
imbalanced-data smote synthetic-data over-sampling regression
Language:Python 319
tgsmith61591 / smrt
Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.
autoencoder class-imbalance machine-learning neural-networks smote tensorflow vae variational-autoencoder
Language:Python 125
damianhorna / multi-imbalance
Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/
bagging balancing class-imbalance decision-trees decomposition ensembles machine-learning multi-class-imbalance oversampling preprocessing python python-package resampling smote undersampling
Language:Python 77
LaurentVeyssier / Credit-Card-fraud-detection-using-Machine-Learning
Detect Fraudulent Credit Card transactions using different Machine Learning models and compare performances
fraud-detection random-forest-classifier decision-tree-classifier perceptron-neural-networks imbalance-correction imbalanced-classes smote oversampling keras-tensorflow
Language:Jupyter Notebook 69
zunicd / Bank-Churn-Prediction
Bank customers churn dashboard with predictions from several machine learning models.
seaborn pandas flask scikit-learn gridsearchcv smote python matploblib imbalanced-learn keras-tensorflow html-css-bootstrap jupyter-notebooks pipelines
Language:Jupyter Notebook 45
hk-mp5a3 / Class-Imbalance
Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).
data-science imbalance-data machine-learning oversampling smote
Language:Python 39
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。
spark big-data-mining smote rfm ahp app-traffic-operation-analysis markov time-series
Language:Java 38
kaushalshetty / SMOTE
Synthetic Minority Over-sampling Technique
artificial-intelligence machine-learning oversampling python smote
Language:Python 38
Machine_Learning
SudhakarKuma / Machine_Learning
A repository of resources for understanding the concepts of machine learning/deep learning.
machine-learning imbalanced-data seaborn-plots smote f1-score supervised-machine-learning unsupervised-machine-learning clustering preprocessing critical-concepts dimensionality-reduction knn-classification bagging boosting datacamp-machine-learning summer-school iiith datacamp-projects
Language:Jupyter Notebook 38
bhattbhavesh91 / imbalance_class_sklearn
Address imbalance classes in machine learning projects.
class-imbalance classification-algorithm machine-learning python smote
Language:Jupyter Notebook 35
georgedouzas / imbalanced-learn-extra
Implementation of novel oversampling algorithms.
clustering-based-oversampling data-science g-somo geometric-smote imbalanced-learning kmeans-smote machine-learning oversampling python scikit-learn smote
Language:Python 32
devrajkataria / Credit-Card-Fraud-Detection-ML-WebApp
python credit-card creditcard-fraud creditcardfrauddetection jupyter-notebook lightgbm xgboost logistic-regression svm knn-classification pca-analysis smote machine-learning fraud-detection imbalanced-data fraud-management frauddetection flask-application webapp html-css
Language:Python 23
MatteoM95 / Default-of-Credit-Card-Clients-Dataset-Analisys
Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.
gridsearchcv logistic-regression machine-learning random-forest-classifier oversampling-technique pca-analysis smote svm-classifier decision-trees oversampling undersampling exploratory-data-analysis uci-dataset
Language:HTML 23
timeamagyar / kdd-cup-99-python
Analysis and preprocessing of the kdd cup 99 dataset using python and scikit-learn
kdd99 python sklearn matplotlib smote cluster-centroids resampling-methods principal-component-analysis linear-separability convex-hull one-hot-encode standardization normalization
Language:Jupyter Notebook 22
navneetkrc / Deep-Learning-Experiments-implemented-using-Google-Colab
Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets
classifier colab-fastai colab-notebook collab computer-vision computer-vision-datasets embeddings fastai google-colab-notebook jokes kaggle movie-reviews nlp recommender-systems smote transfer-learning
Language:Jupyter Notebook 20
mjuez / approx-smote
Approx-SMOTE: fast SMOTE for Big Data on Apache Spark
smote big-data spark scala imbalanced-data imbalanced-learning
Language:Scala 18
earthat / Automatic-Digital-Modulation-Detection-
This repository presents the code for digital modulation detection in Communication networks
machine-learning neural-network digital-modulation classification smote pattern-recognition digital-modulation-detection modulation-classification communication ofdm free-thesis
Language:MATLAB 17
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.
machine-learning two-stage flight-delay-prediction pre-processing data-cleaning data-visualization airports forecasts flights feature-selection feature-extraction correlation-coefficient feature-ranking auc-roc-curve performance-metrics pipelining smote smote-oversampler random-under-sampling imbalanced-classes
Language:Jupyter Notebook 17
atif-hassan / Regression_ReSampling
A python library for repurposing traditional classification-based resampling techniques for regression tasks
regression-task smote oversampling undersampling resampling regression classification machine-learning
Language:Jupyter Notebook 16
Tek-nr / AI-Based-Fraud-Detection
A fraud detection project that processes user or credit card data using machine learning and deep learning algorithms.
adasyn deep-learning fraud-detection machine-learning random-over-sampling random-under-sampling smote
Language:Jupyter Notebook 14
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.
cybersecurity eda machine-learning phishing-attacks phishing-detection phishing-urls f1-score feature-extraction feature-selection lazy-classifier oversampling smote stacking-classifier true-negative-rate true-positive-rate voting-classifier
Language:Jupyter Notebook 12
ai-se / Smote_tune
ICSE'18: Tuning Smote
hyperparameter-optimization hyperparameter-tuning optimization tuning defect-prediction classification sbse software-engineering class-imbalance smote genetic-algorithm differential-evolution released
Language:Python 11
bcbi / ClassImbalance.jl
Sampling-based methods for correcting for class imbalance in two-category classification problems
class imbalance smote rose
Language:Julia 11
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.
python pandas modeling logistic-regression random-forest ensemble-machine-learning accuracy-score confusion-matrix classification-report resampling smote cluster-centroids smoteenn
Language:Jupyter Notebook 11
ashomah / HR-Analytics
HR Analytics Dataset
python hr human-resources machine-learning logistic-regression smote rfe recursive-feature-elimination
Language:Python 10
Ashutosh27ind / PGDDS-Capstone-Project
Credit Card Fraud Detection Project
adasyn credit-risk decision-trees kfold-cross-validation knn logistic-regression random-forest smote svm xgboost
Language:Jupyter Notebook 10
shuLhan / go-mining
Data mining with Go.
cart cascaded-random-forest data-mining data-mining-algorithms go golang knn ln-smote mining random-forest smote
Language:Go 10
ireneliu521 / Credit-Card-Fraud_J2D_Project_Python
Apply 7 common Machine Learning Algorithms to detect fraud, while dealing with imbalanced dataset
credit-card-fraud kaggle imbalanced-data smote eda python machine-learning-algorithms
Language:Jupyter Notebook 9
basiralab / MV-LEAP
Multi-View LEArning-based data Proliferator (MV-LEAP) for boosting classification using highly imbalanced classes.
graph-augmentation multi-view-networks pca smote imbalanced-classes boosting-algorithm data-proliferator network-neuroscience brain-disorders computer-aided-diagnosis
Language:MATLAB 8
rikhuijzer / Resample.jl
An implementation of SMOTE
smote smote-sampling upsampling julia julia-language
Language:Julia 8
sonnguyen129 / Accident-Severity-Prediction
Predicting the severity of accident
heroku shap streamlit xgboost smote gridsearchcv python
Language:Jupyter Notebook 8
swordspoet / UCI_imbalanced_data
The machine learning project on UCI imbalanced data.
smote machine-learning data-mining imbalanced-data uci-imbalanced-data uci
Language:R 8
earthat / SMOTE-over-Sampling
This repository is for MATLAB code for balancing of multiclass data by SMOTE
data-analysis data-preprocessing datascience machine-learning matlab neural-network smote
Language:MATLAB 7
cedoula / Credit_Risk_Analysis
Build and evaluate several machine learning algorithms to predict credit risk.
machine-learning oversampling undersampling randomoversampler smote machine-learning-algorithms cluster-centroids smoteenn balanced-random-forest ensemble-model logistic-regression
Language:Jupyter Notebook 6
desininja / voice-disorder
Data Science project. ML algorithms to detect voice disorders.
voice-disorder health accuracy algorithms classification classification-algorithm classifier classifier-model machine-learning smote data data-science data-mining data-extraction
Language:Jupyter Notebook 6

smote

analyticalmindsltd / smote_variants

nickkunz / smogn

tgsmith61591 / smrt

damianhorna / multi-imbalance

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

zunicd / Bank-Churn-Prediction

hk-mp5a3 / Class-Imbalance

jiangnanboy / spark_data_mining

kaushalshetty / SMOTE

SudhakarKuma / Machine_Learning

bhattbhavesh91 / imbalance_class_sklearn

georgedouzas / imbalanced-learn-extra

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

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

timeamagyar / kdd-cup-99-python

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

mjuez / approx-smote

earthat / Automatic-Digital-Modulation-Detection-

nive927 / Flight_Delay_Prediction

atif-hassan / Regression_ReSampling

Tek-nr / AI-Based-Fraud-Detection

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

ai-se / Smote_tune

bcbi / ClassImbalance.jl

fischlerben / Machine-Learning-Credit-Risk

ashomah / HR-Analytics

Ashutosh27ind / PGDDS-Capstone-Project

shuLhan / go-mining

ireneliu521 / Credit-Card-Fraud_J2D_Project_Python

basiralab / MV-LEAP

rikhuijzer / Resample.jl

sonnguyen129 / Accident-Severity-Prediction

swordspoet / UCI_imbalanced_data

earthat / SMOTE-over-Sampling

cedoula / Credit_Risk_Analysis

desininja / voice-disorder