About the Competition
First level of DataCamp's international predictive maintenance competition series. 3,000+ participants globally. The challenge: predict machine failures before they happen.
The Solution
Built a machine failure prediction model using ensemble methods — Random Forest and XGBoost — with feature engineering and SMOTE to handle class imbalance. This was the starting point of a three-level sweep.
Level 1 of 3. Won all three levels.
Gallery
