A guide to understanding the different kinds of seasonality and how to decompose the time series into trends and seasons

Why Explore Seasonality?

Seasonality in time-series data refers to a pattern that occurs at a regular interval. This is different from regular cyclic trends, such as the rise and fall of stock prices, that re-occur regularly but don’t have a fixed period. …

Spencer Hayes

Lead Data Scientists — Leav (https://www.leav.co/) Passionate about computer vision, NLP, and classic ML.

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