ÐнÑеÑакÑивнÑй дÑÑбоÑд по заболеваемоÑÑи COVID-19
Jazyk: | ruština |
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Rok vydání: | 2022 |
Předmět: | |
DOI: | 10.18720/spbpu/3/2022/vr/vr22-2769 |
Popis: | Рданной ÑабоÑе изложен Ð¿Ð¾Ð´Ñ Ð¾Ð´ к пÑогнозиÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¸ визÑализаÑии даннÑÑ Ð½Ð° оÑнове пÑогноÑÑиÑеÑÐºÐ¸Ñ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹ и инÑÑÑÑменÑа мониÑоÑинга. Ðо вÑÐµÐ¼Ñ ÑабоÑÑ Ð¸ÑполÑзовалÑÑ Ð¾Ð±ÑедоÑÑÑпнÑй ÑзÑк пÑогÑаммиÑÐ¾Ð²Ð°Ð½Ð¸Ñ Python и оÑкÑÑÑÑе Ð´Ð»Ñ Ð¾Ð±Ñего доÑÑÑпа библиоÑеки. ÐÑоведен ÑÑавниÑелÑнÑй анализ моделей, ÑÑеди коÑоÑÑÑ Ð²ÑбÑÐ°Ð½Ñ Ð»ÑÑÑие Ð´Ð»Ñ Ð¿Ñогноза. This paper describes an approach to forecasting and visualizing data based on predictive models and monitoring tool. During the work, the public Python programming language and publicly accessible libraries were used. A comparative analysis of the models was carried out, among which the best ones for the forecast were selected. |
Databáze: | OpenAIRE |
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