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Using adaptive Machine Learning to detect credit card fraud in financial data sets, getting better with time. You provide Panthera with a dataset of all credit card transaction during a time period in .csv format. Panthera then analyses the data pre-training, and uses it's insight from this to select the best algorithm for the job. This makes Panthera highly adaptive to the type of data set. After a few minutes of training, Panthera runs it's machine learning logic on a subset of the transactions, and tells the developer how accurate it was in identifying fraudulent transactions (along with a few other stats).

Home Page: https://devpost.com/software/creditfox-machine-learning-to-find-credit-card-fraud

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