Oluwasesan Cornelius Akinbode - Academia.edu (original) (raw)
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Papers by Oluwasesan Cornelius Akinbode
The primary aim of this project is to make use of machine learning models for the detection and p... more The primary aim of this project is to make use of machine learning models for the detection and prevention of fraudulent credit card transactions, to ensure the security of customers' accounts against unauthorized use. With the increase in the rate of credit card fraud, it is necessary to implement measures to fight it effectively, to protect customers from charges for goods and services they did not authorize. To achieve this, four distinct machine learning algorithms: K-Nearest Neighbors (KNN), Logistic Regression, Decision Tree Classifier, and Support Vector Machine (SVM) were implemented, trained, and evaluated using a comprehensive dataset containing credit card transaction records, and the best of these four was selected.
The primary aim of this project is to make use of machine learning models for the detection and p... more The primary aim of this project is to make use of machine learning models for the detection and prevention of fraudulent credit card transactions, to ensure the security of customers' accounts against unauthorized use. With the increase in the rate of credit card fraud, it is necessary to implement measures to fight it effectively, to protect customers from charges for goods and services they did not authorize. To achieve this, four distinct machine learning algorithms: K-Nearest Neighbors (KNN), Logistic Regression, Decision Tree Classifier, and Support Vector Machine (SVM) were implemented, trained, and evaluated using a comprehensive dataset containing credit card transaction records, and the best of these four was selected.