Loosely, the machine learning methods can be separated into supervised and unsupervised learning. Supervised learning, as the name suggests, operates under the guidance of a ‘supervisor.‘ Practically, that means there is a dataset for which the analysis goal has already been achieved and is available to train the model. This training dataset is called labeled data.