non-fraudulent-transactions

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RimTouny / Credit-Card-Fraud-Detection
Focused on advancing credit card fraud detection, this project employs machine learning algorithms, including neural networks and decision trees, to enhance fraud prevention in the banking sector. It serves as the final project for a Data Science course at the University of Ottawa in 2023.
classification-algorithms correlation-analysis data-science detection-model dimensionality-reduction encoding feature-engineering feature-scaling fraud-detection fraudulent-transactions label-encoding outliers pca smote standardscaler tsne-visualization non-fraudulent-transactions kears max-pooling nerual-network
Language:Jupyter Notebook 3

RimTouny / Credit-Card-Fraud-Detection