Inspiration
In this pandemic situation of worldwide, this model helps in analyzing the COVID-19 outbreak worldwide and to predict the spread of the virus in the next 7 days using Prophet.
What it does
This model helps us in analyzing the COVID-19 outbreak worldwide and also predicts the spread in the coming 7 days. The model predicts the confirmed, death and recovered cases with 95% accuracy which means that there are only 5% chances of error. We also analyze which country has the highest case and cases per country.
How I built it
using python libraries like pandas, NumPy, matplotlib and seaborn we analyze the data and see the total number of confirmed, death and recovered cases. We also analyze which country has the highest case and cases per country. Then We use prophet, a procedure for forecasting the spread of COVID-19 in the upcoming 7 days.
Challenges I ran into
There are some issues I faced, like in importing the prophet software and to correctly use datasets for this software.
Accomplishments that I'm proud of
As we all know in this situation of a pandemic it is very necessary to keep track of the spread of this virus. this model will help not only to analyze the situation but also to predict the spread in upcoming days. this way we will take necessary precautions to handle this situation.
What I learned
I learned a lot about time series analysis and also get to know about many tools in python. This model also helps me in understanding the situation of pandemic worldwide.
What's next for COVID-19-project
I want to create a model that predict the outbreak more accurately. I also want to create a model that will predict the virus before it spread.
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