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Topic: Importance of R Programming In Credit Card Fraud Detection
Research Background:
The R programming language finds another application in detecting fraudulent credit card transactions. In this project, various Machine Learning algorithms are used that can differentiate counterfeit transactions from genuine ones. The credit card detection project in R makes use of multiple algorithms such as Logistic Regression, Decision Trees, Gradient Boosting Classifiers, and Artificial Neural Networks.
The Card Transactions dataset is used in this credit card fraud detection project in R; this dataset contains fraudulent as well as authentic transactions. The project has the following steps - importing the datasets containing the credit card transactions, exploring the data, manipulating and structuring the data, modeling the data, fitting the model in the Logistic Regression algorithm, and finally, implementing the Decision Tree, Artificial Neural Network, and Gradient Boosting models.
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