An ML model is made up of several files which, after being trained on specific examples and with the use of relevant code, can predict outcomes for new data. This has numerous applications across various tasks, such as classification (e.g. predicting a disease based on images of patients), predicting numbers (e.g. the price of a house in a particular area), and forecasting (e.g. predicting house prices after the release of certain news).