Інформаційна технологія аналізу та прогнозування цін інтернет-магазинів для електронних товарів

Abstract

Проведено аналіз даних та відібрано оптимальний набір ознак, за якими слід будувати модель.

The data analysis is carried out and the optimal set of features on which to build the model is selected. A mathematical model has been developed that allows predicting the recommended price of the required electronic product and determining the best online store for its purchase. The forecast of the recommended price was carried out on the basis of the developed web scrapper which allows to collect data on goods from various online stores. The web scrapper system is written in Python using the Selenium tool and the Django web framework.