Machine Learning Applied to Time Series

Typically, the most distinctive feature is predictions by training an event that is likely to happen in the future with the available data sets. Objectives can of course change according to sectoral expectations, but we can emphasize what is common. Facilitating the handling of the focal point separately from the general in most cases makes it easier to understand the whole picture. Because a suitable estimate that will make the composition valid can be constructed this way. An example would be to show the curve of birth-death rates by years in a single graph.