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.
https://github.com/chaitanyac22/fraud_analytics_credit_card_fraud_detection
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: 21 days ago
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The aim of this project is to predict fraudulent credit card transactions with the help of different machine learning models.
- Host: GitHub
- URL: https://github.com/chaitanyac22/fraud_analytics_credit_card_fraud_detection
- Owner: ChaitanyaC22
- License: mit
- Created: 2021-04-23T14:15:14.000Z (about 4 years ago)
- Default Branch: chai_main
- Last Pushed: 2023-01-24T18:10:21.000Z (over 2 years ago)
- Last Synced: 2025-03-27T07:15:31.882Z (about 1 month ago)
- Topics: 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
- Language: Jupyter Notebook
- Homepage:
- Size: 67.3 MB
- Stars: 5
- Watchers: 1
- Forks: 2
- Open Issues: 0