Credit Card Fraud Detection Using Machine Learning Final Year Project by Mahesh Huddar

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Credit Card Fraud Detection Using Machine Learning Final Year Project by Mahesh Huddar • Download Final Year Projects: https://vtupulse.com/download-final-y... • Follow the link: • https://vtupulse.com/product/credit-c... • to download the • Source Code, • Project Report, • Instructions to install the necessary Software and Libraries, • Step-by-step instructions to execute the project. • The project aims to predict fraudulent credit card transactions using machine learning models. • This is crucial from the bank’s as well as the customer’s perspective. • The banks cannot afford to lose their customers’ money to fraudsters. • Every fraud is a loss to the bank as the bank is responsible for the fraudulent transactions. • We have used a total of 5 algorithms in our project • Logistic Regression • K-Nearest Neighbours • Decision Tree • Random Forest • XGBoost • Six Techniques are used for undersampling or oversampling • Random oversampling • Random Undersampling • Tomek Links Undersampling • Cluster centroids under sampling • SMOTE Oversampling • SMOTE + Tomek Links • The following concepts are discussed: • ______________________________ • Credit Card Fraud Detection, • Credit Card Fraud Detection using Machine learning, • Credit Card Fraud Detection project, • Credit Card Fraud Detection source code, • Credit Card Fraud Detection project source code, • Credit Card Fraud Detection final year project, • Credit Card Fraud Detection machine learning, • Credit Card Fraud Detection imbalanced data, • credit card fraud detection project using machine learning, • credit card fraud detection project Python, • credit card fraud detection project with source code, • credit card fraud detection project using data science, • credit card fraud detection ppt, • credit card fraud detection report, • machine learning projects with source code • ******************************** • 1. Blog / Website: https://www.vtupulse.com/ • 2. Like Facebook Page:   / vtupulse   • 3. Follow us on Instagram:   / vtupulse   • 4. Like, Share, Subscribe, and Don't forget to press the bell ICON for regular updates

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