JonWeber0328/30-Days-of_Machine-Learning
This repo is for the 30 Days of Machine Learning competition on Kaggle. We analyze a synthetic (generated using a CTGAN) dataset in order to design a machine learning model that can minimize the root mean square error (RMSE) of our predicted values.
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