Predicting Service Failures
Program: Data Science Master's Degree
Location: Not Specified (onsite)
Student: Ben Messer
Service failures are costly to the company. Being able to predict such failures ahead of time would be put the company at an advantage because they’d be able to prepare for or completely avoid the looming failure. This project was creating a logistic regression model to predict such failures.