Declarative Programming is a programming paradigm that focuses on describing what should be computed in a problem domain without describing how it should be done. The post starts by explaining differences between a declarative and imperative approach with the help of examples from everyday life.

In the field of machine learning and particularly in supervised learning, correlation is crucial to predict the target variable with the help of the feature variables. Rarely do we think about causation and the actual effect of a single feature variable or covariate on the target or response. Some even …