From Noise to Clarity: How Exponential Smoothing Tames Time Series Data

A Step-by-Step Guide to Transforming Raw Time Series Into Actionable Insights

Data denoising is the process of removing or reducing noise from a dataset. Noise in data refers to random variations, errors, or unwanted interference that can obscure the underlying patterns, trends, or signals in the data. In this article, we embark on a journey to demystify exponential smoothing.