In today’s world, many microcomputers are being developed in every field. The data we receive contains valuable information for predicting the future. Due to its enormous size, physical forecasting presents a complex task for humans. To overcome this problem, a data model is developed to predict the future by scenario with the help of training data and test datasets. There are many types of machine learning algorithms and tools to train a machine or data model. This paper will emphasize a comprehensive review of some machine learning algorithms (ML) and methods used in several applications and domains.