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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Updated
Jan 10, 2024 - Jupyter Notebook