It uses historic data as enter to forecast new output values. Machine learning consists of both of those supervised learning (where the envisioned output with the enter is understood because of labeled data sets) and unsupervised learning (in which the envisioned outputs are mysterious as a consequence of using unlabeled data sets).In all scenarios