Credit Card Fraud Detection Dataset

This dataset is designed to help identify fraudulent transactions in credit card transactions. It contains a variety of features that can be used to predict whether a transaction is fraudulent or not.

Features

• Transaction Amount: The amount of the transaction.
• Transaction Type: The type of transaction (e.g., purchase, cash advance).
• Merchant Category: The category of the merchant where the transaction was made.
• Location: The location of the transaction.
• Time: The time of the transaction.

Usage

The dataset can be used to train machine learning models to predict fraudulent transactions. It is also suitable for data analysis and visualization projects.

Example

Here is a small sample of the dataset:

Amount,Type,Merchant,Location,Time
100,Purchase,Electronics,New York,2023-01-01 12:00:00
150,Cash Advance,Food,Los Angeles,2023-01-01 15:00:00

More Information

For more information about the dataset and its usage, please visit our Credit Card Fraud Detection Dataset page.

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Credit Card Fraud Detection