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Predicting 3D Printer Failure
As part of a data science practicum at Formlabs, I leveraged product usage data and a cascading ensemble of decision trees to predict if a printer would be sent back under the company’s Return Merchandise Authorization (RMA) program and, more specifically, under which of the 19 known symptoms it would be classified. If this model […]
Interpretable Personal Loan Default Predictions
Increasingly, stakeholders, customers, and regulators of financial institutions are demanding that decisions about financial products such as personal loans are not left entirely to machine learning. The effect of bias and unknowns is simply unacceptable when it can unfairly affect the livelihood of real people. Thus training models that are interpretable is paramount. With interpretable […]