Supervised Learning algorithms cheat-sheet

Supervised learning is the machine learning task of learning a function that maps an input to an output based on example input-output pairs. A supervised learning algorithm analyzes the training data and produces an inferred function, which can be used later for mapping new examples. The most popular supervised learning tasks are: Regression and Classification. The result of solving the regression task is a model that can make numerical predictions. The result of solving the classification task is a model that can make classes predictions.