https://github.com/rikhuijzer/resample.jl

An implementation of SMOTE

julia julia-language smote smote-sampling upsampling

Last synced: 27 Oct 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: 30 May 2026

https://github.com/moindalvs/assignment_svm_forest_fire_prediction

adasyn-sampling auc-roc-curve data-science hyperparameter-tuning kernel-trick regularization smote-sampling smoteenn smotetomek svm-classifier svm-kernel

Last synced: 25 Apr 2026

https://github.com/tathithienthanh/dataanalysis_diagnosis-of-diabetes-based-on-data-set-of-blood-test-result

Implement all learned knowledge about data analysis and data mining to make a complete project about Diagnosis of diabetes based on data set of blood test result

blood-test classification clustering data-analysis data-processing decision-tree diabetes-prediction diagnosis exercise google-colab health hierarchical ipynb kmeans knn knns py python smote-sampling visualization

Last synced: 08 Jan 2026

https://github.com/86lekwenshiung/classification-modelling-projects

Classification Projects for balanced and imbalanced datasets

knn-classification smote-sampling

Last synced: 14 Jun 2026

https://github.com/radhikareddy-chintareddy/predictive-churn-modeling-machine-learning-for-customer-retention

This project employs machine learning algorithms to predict customer churn by analyzing historical customer data. It provides actionable insights to enhance customer retention. The models were fine-tuned using hyperparameter optimization and tackled data imbalance with SMOTE, achieving high F1-scores to drive targeted business strategies.

ensamble-methods feature-selection hyperparameter-tuning machine-learning-algorithms python regression-algorithms smote-sampling

Last synced: 09 Apr 2026

https://github.com/jesussantana/sampling

Perform Data Sampling with Python

preprocessing python random-sampling reservoir-sampling sampling smote-sampling stratified-sampling systematic-sampling

Last synced: 11 May 2026

https://github.com/avinandanbose/credit-card-fraud-detection-machine-learning-

Credit Card Fraud Detection using Python and Machine Learning.

artificial-intelligence credit-card creditcard decision-trees logistic-regression machine-learning machine-learning-algorithms matplotlib matplotlib-pyplot oversampling pca python quantile-transformer random-over-sampling random-under-sampling seaborn smote-sampling stratified-cross-validation support-vector-machines tomek-link-elimination

Last synced: 19 May 2026

https://github.com/musadiqpasha/imbalance-learning

To tackle imbalanced classification in fake job detection dataset using various resampling techniques and model evaluations.

classification imbalanced-data ipython-notebook resampling smote-sampling

Last synced: 09 May 2025

https://github.com/udit-rawat/gan-n

A experimental project that delves in dealing with CI dataset using SMOTENN+GAN with dvc experimentation.

classimbalance dvc dvc-pipeline gan smote-sampling

Last synced: 21 May 2026

https://github.com/razamehar/predicting-bank-customer-churn

This project aims to predict bank customer churn using a dataset derived from the Bank Customer Churn Prediction dataset available on Kaggle. The dataset for this competition has been generated from a deep learning model trained on the original dataset, with feature distributions being similar but not identical to the original data.

adaboost-classifier aws-s3 aws-sagemaker classifier-model customer-churn-analysis customer-churn-prediction extra-trees-classifier gradient-boosting-classifier hyperparameter-tuning knn-classification python random-forest-classifier shapley-additive-explanations smote-sampling xgboost-classifier

Last synced: 14 May 2026

https://github.com/niteshchawla/ola-ensemblelearning

Recruiting and retaining drivers is seen by industry watchers as a tough battle for Ola. Churn among drivers is high and it’s very easy for drivers to stop working for the service on the fly or jump to Uber depending on the rates.

bagging-ensemble confusion-matrix encoding ensemble-learning feature-engineering featureimportance gridsearchcv hyperparameter-tuning machine-learning precision-recall random-forest roc-auc-curve scaling-methods smote-sampling

Last synced: 17 Jun 2026

https://github.com/gustaminas/ai_primer---bank_marketing

A project from the AI_primer course at Vilnius university.

data-carpentry data-visualization decision-tree logistic-regression principal-component-analysis random-forest smote-sampling

Last synced: 27 Mar 2025

https://github.com/lucashomuniz/project-06

azure-machine-learning-studio bank-account bayesian-statistics big-data credit-analysis data-analysis data-structures language-r neural-network smote smote-sampling svm-model

Last synced: 30 Mar 2025

https://github.com/parag000/customer-churn-prediction

An end to end ML solution to predict customer churn, aiding businesses in identifying at-risk customers. This repository features a tuned LightGBM model, custom preprocessing, SMOTE for class balancing, and a user-friendly Streamlit app for predictions, emphasizing model optimization and deployment.

gridsearchcv hyperparameter-tuning lightgbm-classifier pipeline random-forest-classifier smote-sampling streamlit winsorization

Last synced: 22 May 2026

https://github.com/anirudh-pulavarthy/car-evaluation-using-smote

machine-learning python scikit-learn smote-sampling

Last synced: 24 Apr 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: 18 Jul 2026

https://github.com/dpgitaccount/project---hospital-readmission-analysis

The goal of this project is to build a predictive model to estimate the likelihood of a hospital readmission based on patient data. By identifying factors that contribute to readmissions, hospitals can optimize care and reduce costs associated with repeated visits.

boxplot confusion-matrix datamodeling exploratory-data-analysis heatmap histplot numpy pandas plotly python random-forest seaborn smote-sampling visualization

Last synced: 16 Apr 2026

https://github.com/anushkundu/churn-prediction

Telecom Customer Churn Prediction Using Machine Learning!

accuracy-score classification-algorithm classification-report data-analysis data-science deep-learning gradient-boosting-classifier keras-tensorflow logistic-regression machine-learning random-forest-classifier recall-precision roc-auc-score smote-sampling svm-classifier

Last synced: 21 Apr 2026

https://github.com/venumadhav2407/microsoft-classifying-cybersecurity-incidents

MicroSoft CyberSecurity Incident Classification

classification machine-learning python smote-sampling supervised-learning

Last synced: 01 May 2026

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

Machine learning model for Credit Card fraud detection

class-imbalance knn-classification logistic-regression machine-learning python random-forest smote-sampling svm-classifier tree-model xgboost

Last synced: 02 May 2026

https://github.com/niteshchawla/loantap-logisticregression

Given a set of attributes for an Individual, determine if a credit line should be extended to them. If so, what should the repayment terms be in business recommendations?

confusion-matrix encoding feature-engineering featureimportance hyperparameter-tuning logistic-regression machine-learning numpy pandas-python precision-recall roc-auc-curve sklearn-metrics smote-sampling

Last synced: 10 May 2026