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This repository features code for a fraud detection model achieving 100% accuracy in identifying fraudulent credit card transactions. Utilizing transaction data from Jan 2019 to Dec 2020, the model employs RandomForestClassifier, assessing features like credit card numbers, transaction amounts, and merchant information.

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CampusValley2.ipynb

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CampusValley2

This repository contains code for a fraud detection model built using transaction data from Jan 2019 to Dec 2020. It employs RandomForestClassifier for classification, with evaluation metrics like accuracy, confusion matrix, and classification report.

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This repository features code for a fraud detection model achieving 100% accuracy in identifying fraudulent credit card transactions. Utilizing transaction data from Jan 2019 to Dec 2020, the model employs RandomForestClassifier, assessing features like credit card numbers, transaction amounts, and merchant information.

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machine-learning python-programming confusion-matrix data-preprocessing model-evaluation classification-report fraud-detection random-forest-classifier credit-card-transactions

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