By examining historical data and identifying abnormal patterns or anomalies, equipment learning algorithms can flag possibly fraudulent transactions in actual-time, avoiding economical losses and protecting shoppers.In this particular project we will be working with statistical techniques to create statements and attract conclusions a few blood tra