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In mathematics, time series is a series of data points listed with respect to time; most commonly, it is a sequence taken at successive equal intervals point in time. Common examples of time series are daily closing values of the stock market, counts of sunspots etc. Time series analysis comprises methods for analysing time-series data to extract meaningful statistical information and other data characteristics. In contrast, time series forecasting uses a model to predict future values based on previously observed values. In this article, we are going to explore the following regression techniques used for time series forecasting;

Read more: https://analyticsindiamag.com/a-comprehensive-guide-to-regression-techniques-for-time-series-forecasting/