What is Supervised Learning ? Supervised learning is a cornerstone of machine learning, where the goal is to learn a function that maps an input to an output based on example input-output pairs. It figures out a rule from labeled training information. This data includes a bunch of examples where each one has an input and the correct output. In the realm of supervised learning, two primary tasks stand out: regression and classification. These tasks are tackled with various algorithms, each with its strengths and applications. Regression and Classification in machine learning At its core, regression