Estimating credit card spending with machine learning methods

These days, as a result of the increasing desire to spend, the use of credit cards has become quite common. In this study, the estimation of credit card expenditures with deep learning methods has been realized. The data of the data set containing 10000 samples taken from a private payment systems company was examined. The dataset was subjected to deep learning with LSTM, ARIMA and PROPHET algorithms. The python environment was used while developing the application. As a result of the study, it was seen that the LSTM method was more successful than the ARIMA and PROPHET methods.