Key aim of this paper is to find out regarding various machine learning algorithms which are utilized to identify credit card fraud. Additionally, we researched various algorithm and their implementation. Different algorithms provide specific precision depending on various conditions. We also studied about a general model which explains about the steps to be followed in order to apply the algorisms and find out the performance and accuracy.
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