Hands-On Machine Learning for Cybersecurity

Noise

These are random increases or decreases of values in the series. We will be generally dealing with the preceding systematic components in the form of additive models, where additive models can be defined as the sum of level, trend, seasonality, and noise. The other type is called the multiplicative model, where the components are products of each other.

The following graphs help to distinguish between additive and multiplicative models. This graph shows the additive model:

Since data decomposition has a major role in data analyzing, we understand these different components by using pandas inbuilt dataset that is the "International airline ...