**1. Introduction**

COVID-19 is currently a pandemic that has very serious impacts in today society. It does not only affect the health of individuals, but has also economical, social, cultural, and political consequences. Therefore is it of great importance to have Covid-19 data visible for as much possible, and to train models that are able to forecast the number of new infections on Covid-19, and to learn from them before new Covid mutations, or newer diseases occur.

The objective of this research was to make COVID-19 data more visible and interpretable, and having at least two statistical models that are able to make forecasts on COVID-19 cases using machine or deep learning techniques. It can be beneficial for future pandemics, to have models that are able to forecast and predict the possible impact a new virus can have not only on the health care sector, but on society as a whole.

Different artificial intelligence (AI) techniques can be used to aid scientists in medical and biological fields that are doing research in virology and pandemic control. And for society, more predictive analysis and data visualization that is understandable for the average person, means more awareness about past, current, and possibly future development of a virus pandemic.
