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Credit Card Fraud Detection: An ML project on credit card fraud detection using various ML techniques to classify transactions as fraudulent or legitimate. This project involves data analysis, preparation, and use of models like Logistic regression, KNN, Decision Trees, Random Forest, XGBoost, and SVM, along with various oversampling technique.

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adasyn-sampling classification-model decision-trees isolation-forest knn local-outlier-factor logistic-regression machine-learning random-forest random-over-sampling

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