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.
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PURL: pkg:github/cdalsania/Credit_Card_Fraud_Detection
Stars: 2
Forks: 1
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 21.9 MB
Dependencies parsed at: Pending
Created at: over 4 years ago
Updated at: about 2 years ago
Pushed at: almost 4 years ago
Last synced at: about 2 years 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