Overview of Machine Learning Pipeline

Machine learning is all about identifying patterns or relationships in data and using them to make accurate predictions. An ML pipeline is a multi-step process involving different stages that guide the development of an algorithm capable of making predictions or classifications based on input data. The term “training” refers to the process of feeding data to the ML Pipeline and allowing it to adjust its internal parameters to improve predictive accuracy.

In this lesson, we’ll understand the different stages of the ML pipeline.