Data 4 ML (Part 1): Introduction to Data Pipeline

Before diving into the art of feature engineering on the next set of articles, let's take a moment to take a look at the over‐all machine learning pipeline. In this article, we will take a look over the larger picture of the application. To that end, we'll begin with a little musing on the basic concepts like data and models. What we call data are observations of real-world phenomena. Data is an unorganized and unprocessed fact, it might be raw numbers, figures, images, words, sounds, derived from observations or measurements.