Data Science Snippets: Time Series Forecasting- Part 5 - Additive and Multiplicative Decomposition
Time Series Forecasting is the practice of using past data, tracked over time, to predict future outcomes.
Welcome back!!
In the previous posts, we introduced the basic definition of Time Series Forecasting and also saw the Forecasting types. We saw what are the rules of Time Series data collection and deep dived through the Components of a Time Series.
Now, let’s take a deep dive into the types of Time Series Decomposition and its importance.
