Predictive Maintenance

Learning outcomes

1. Apply relevant data science techniques and tools to process and analyze manufacturing data in solving a predictive maintenance problem for the anticipation of equipment failures and reducing downtime;
2. Abstract the predictive maintenance problem and formulate it as a set of appropriate data science and machine learning problems
3. Design and implement an end-to-end data science project for predictive maintenance, incorporating appropriate machine learning models