I’ll now present a template for the strategy of constructing machine learning models.
On this project, the goal is to create a model able to predicting the need for maintenance in industrial machines. We’ll use data from IoT sensors (Web of Things).
The approach divides the Machine Learning project into 15 distinct stages, which I’ll outline for you. These stages include the key techniques, most important strategies, and tips on how to tackle each of them effectively.
As an illustration, we are going to work with fictitious data in this instance.
As we progress, we are going to construct a comprehensive project from start to complete, covering all the pieces from problem definition to deploying the functional model.
