Analyzing the main methods of predictive analytics

Abstract

Analyzing the main methods of predictive analytics

Bukharova K.A., Ermakov S.G.

Incoming article date: 12.02.2025

Predictive analytics is one of the most important areas of data analysis, which allows predicting future events based on historical data. The relevance of predictive analytics in the modern world is due to the rapid development of technology, the growth of data volumes and the growing need for informed management decision-making. The article discusses the main approaches such as regression models, time series, decision trees, clustering methods and neural networks, as well as their advantages and disadvantages.

Keywords: predictive analytics, regression models, time series, decision trees, neural networks, clustering, big data, predictive analytics methods, big data analysis, forecasting