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.
encoding data-science pca outliers dimensionality-reduction feature-engineering feature-scaling smote fraud-detection max-pooling nerual-network correlation-analysis kears label-encoding detection-model standardscaler classification-algorithms fraudulent-transactions tsne-visualization non-fraudulent-transactions
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Jan 10, 2024 - Jupyter Notebook