  This work is a trial in which we propose SIR model and machine learning tools
to analyze the coronavirus pandemic in the real world. Based on the public data
from \cite{datahub}, we estimate main key pandemic parameters and make
predictions on the inflection point and possible ending time for the real world
and specifically for Senegal. The coronavirus disease 2019, by World Health
Organization, rapidly spread out in the whole China and then in the whole
world. Under optimistic estimation, the pandemic in some countries will end
soon, while for most part of countries in the world (US, Italy, etc.), the hit
of anti-pandemic will be no later than the end of April.
