Diet and Food Restaurant in the Covid-19 Time by Machine Learning Approaches

Covid-19 is a curse to the people of this century and there is no such thing as a plague. If someone is infected with Covid-19, we must follow the doctor's instructions as to which foods should be eaten more frequently at that time. We attempt to discuss this in details. The objective of this chapter is to see how a country’s food affects its Covid-19 mortality rate. With so many diverse eating cultures throughout the world, it’d be fascinating to examine which food groups can best predict a country’s death rate. We used a machine learning model (Linear Regression and Random Forest/Regression Tree) to estimate the proportion of fatalities caused by the coronavirus pandemic, taking into consideration statistical data on the population’s eating habits (food types: animal, eggs, fish, beer, etc.). We may deduce which sorts of meals have a greater influence on the ultimate outcome based on the model’s predictions. Furthermore, throughout the Covid-19 period, the economic environment has changed considerably. In this chapter, we examined restaurant meals in a variety of ways.