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GitHub / cdalsania / Credit_Card_Fraud_Detection

This project researched the credit card transaction dataset and tried various machine learning classification models on the dataset to determine the best model that would flag suspicious activity more accurately.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cdalsania%2FCredit_Card_Fraud_Detection

Stars: 2
Forks: 1
Open Issues: 0

License: None
Language: Jupyter Notebook
Repo Size: 21.9 MB
Dependencies: 16

Created: over 3 years ago
Updated: 10 months ago
Last pushed: over 2 years ago
Last synced: 10 months ago

Topics: adaboost, creditcard-fraud, decision-trees, deepneuralnetworks, gradientboosting, logistic-regression, machine-learning, machine-learning-algorithms, naivebayes, nueral-networks, oversampling, random-forest, scikit-learn, scikitlearn-machine-learning, smote, svm, undersampling

Files
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    Readme
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    Dependencies
    requirements.txt pypi