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Supply_Chain_Exceptions_Prediction

This project is designed to determine if we can anticipate when volume exceptions—in which the supplier ships more or less than the scheduled order or fails to ship entirely—occur during transportation.

'XGBoost' was one option that performed well on structured data after conducting the EDA and examining the data we already have.

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