Analysis of Drug Sales Data based on Machine Learning Methods
Mohammed A. Al-Gunaid, Maxim Shcherbakov, Alla Grigorievna Kravets, Vadim I. Loshmanov, Alexandr M. Shumkin, Vladislav V. Trubitsin, Darya V. Vakulenko · 2018
Currently, a data analysis is inalienable part of basic processes of any big company. Building of model of some process allows forecasting its behavior very accurate in specified conditions. It enables to avoid adverse consequences in case of risks. There are a lot of software packages that implement machine learning methods for forecasting models building exist. The most common and efficient are linear regression, random forest and artificial neural networks. The aim of this article is to compare the most known forecasting methods by building data analysis models of medications' sales.