Projects in Awesome Lists tagged with adasyn
A curated list of projects in awesome lists tagged with adasyn .
https://github.com/chaitanyac22/fraud_analytics_credit_card_fraud_detection
The aim of this project is to predict fraudulent credit card transactions with the help of different machine learning models.
adasyn banking credit-card-fraud-detection data-analysis decision-tree-classifier fraud-analytics hyperparameter-optimization hyperparameter-tuning imblearn kneighborsclassifier logistic-regression machine-learning-algorithms oversampling pipelines power-transformers random-forest-classifier randomoversampler smote svm-classifier xgboost-classifier
Last synced: 13 Apr 2025
https://github.com/hase3b/class-imbalance-classification-performance-analysis
This repository contains the code, documentation, and datasets for a comprehensive exploration of machine learning techniques to address class imbalance. The project investigates the impact of various methods, like ADASYN, KMeansSMOTE, and Deep Learning Generator, on classification performance while effectively demonstrating benefits of pipelining.
adasyn class-imbalance classification cross-validation data-cleaning data-pipeline data-preprocessing deep-learning eda feature-selection hyperparameter-tuning kmeanssmote oversampling pipeline synthetic-data
Last synced: 04 Apr 2025
https://github.com/pekiiipy/credit-card-fraud-detection
🔍 Detect credit card fraud efficiently using advanced machine learning techniques, achieving high accuracy rates on a large dataset of transactions.
adasyn anomaly-detection class-imbalance credit-card-fraud data-visualization fraud fraud-detection frauddetection kaggle keras logistic-regression plotly-python postgresql random-forest scikit-learn tensorflow tree-model xgboost
Last synced: 11 Apr 2026
https://github.com/havva-nur-ezginci/diabetes-eyedisease-detection-ml-dl
💻This project involves the application of machine learning and deep learning methods 📊 to detect diabetes🩸 and diabetes-related eye 👁️diseases.
adagrad adam-optimizer adasyn decision-tree deep-learning gaussian-naive-bayes google-colab-gpu kaggle kneighborsclassifier logistic-regression machine-learning mlpclassifier perceptron random-forest-classifier sgd-optimizer smote support-vector-classifier vgg16 vgg19
Last synced: 04 May 2026
https://github.com/khushirajurkar/exoplanet-habitability-prediction-model
Predicts whether an exoplanet is habitable using ML. Handles class imbalance with ADASYN, tests multiple models, and saves the best one. Includes confusion matrices, ROC curves, and a clean Jupyter notebook
adasyn astroinformatics confusion-matrix exoplanets logistic-regression machine-learning multiclass-classification python roc-curve scikit-learn smote
Last synced: 06 May 2026
https://github.com/silvano315/health-insurance-prediction
This repository aims to test some machine learning and ELI5 explainability technique in order to predict whether the customer would be interested in Vehicle insurance, you have information about demographics, vehicles, policy
adasyn data-science eda eli5 explainability health insurance machine-learning random-forest vehicle xgboost
Last synced: 24 Mar 2025
https://github.com/msikorski93/credit-card-fraud-detection
A binary classification task performed with machine learning in Python. The dataset's target distribution is heavily imbalanced. The model performance was evaluated with F1 scores.
adasyn balanced-bagging binary-classification class-imbalance-handling credit-card-fraud f1-score k-means k-nearest-neighbors light-gradient-boosting-machine logistic-regression naive-bayes near-miss random-oversampling random-undersampling resampling-methods smote-enn tensorflow
Last synced: 19 May 2026