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• Built 93% accurate predictive model using tensorflow deep neural networks using tensorflow and keras libraries in Python and R which predicts fraudulent transactions • Developed random forest and logistic regression models in R • Worked on credit card data set that is has appx. 285,000 records and 31 variables with PCA transformation • Used numpy, pandas, scikit learn libraries in python and ggplot, caret, reshape libraries in R

R 54.31% Python 45.69%

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