Question

How do you developers numerical data

Answer 1

Numeric data typically represents data in the form of scalar values depicting observations, recordings or measurements. Here, by numeric data, we mean continuous data and not discrete data which is typically represented as categorical data. Numeric data can also be represented as a vector of values where each value or entity in the vector can represent a specific feature. Integers and floats are the most common and widely used numeric data types for continuous numeric data. Even though numeric data can be directly fed into machine learning models, you would still need to engineer features that are relevant to the scenario, problem and domain before building a model. Hence the need for feature engineering still remains.