About the dataset: The dataset is highly unbalanced, the positive class (frauds) account for 0.172% of all transactions. We have 492 frauds out of 284,807 transactions.
jupyter notebook: credit.ipnyb
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Building a model to detect anomaly in the credit card transactions
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