Can we predict machine failures before they happen?

First entry in the DataCamp industrial machine downtime competition series. The goal was simple: can you catch a machine failure before it happens? Used ensemble methods — Random Forest and XGBoost — with feature engineering and SMOTE to handle the class imbalance that always shows up in this kind of dataset. This was the starting point of a three-part series that I ended up winning all levels of.