GitHub / tomartushar / Credit-Card-Fraud-Detection
An ensemble of machine learning models for detecting fraudulent credit card transactions, utilizing advanced techniques for feature selection, data imbalance handling, and hyperparameter tuning.
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PURL: pkg:github/tomartushar/Credit-Card-Fraud-Detection
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 248 KB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: about 1 year ago
Topics: bivariate-analysis, clustercentroids, credit-card-fraud, decision-tree-classifier, exploratory-data-analysis, logistic-regression, machine-learning, random-forest-classifier, recursive-feature-elimination, sampling-methods, smote-sampling, smoteenn, t-test, univariate-analysis, xgboost-classifier