论文标题
可视化和机器学习，以预测塞内加尔的COVID-19
Visualization and machine learning for forecasting of COVID-19 in Senegal
论文作者
论文摘要
在本文中，我们根据公共数据进行了两周零40天的可视化和不同的机器学习技术。 2020年7月15日，塞内加尔重新开放了空域的门，而确认案件的数量仍在增加。人口不再尊重卫生措施，而在污染开始之初就处于社会距离。总是戴口罩的疏忽或疲倦？我们对拐点和可能的结束时间进行预测。
In this article, we give visualization and different machine learning technics for two weeks and 40 days ahead forecast based on public data. On July 15, 2020, Senegal reopened its airspace doors, while the number of confirmed cases is still increasing. The population no longer respects hygiene measures, social distancing as at the beginning of the contamination. Negligence or tiredness to always wear the masks? We make forecasting on the inflection point and possible ending time.
