Inspiration
We have seen many people died and suffered with Pandemic of Covid-19, thus we want to build a prediction model for future possible Covid-19 cases which people may able to get insight from it and make improvement for research.
What it does
We saw that Covid-19 definitely affected our life in many ways, and it is important to know how long it would sustain in the future. Therefore we decided to try to use a model using linear regression to predict the growth of number of cases. We started with doing some simple analysis of current Covid-19 cases in 2020 Jan 21 - 2021 Feb 4. After collecting some info, we make a 10 days prediction using linear regression.
How we built it
Python, Linear Regression
Challenges we ran into
Limited knowledge of Data Science
Accomplishments that we're proud of
The first model we built, work hard to achieve the goal
What we learned
Data Science Skill
What's next for Untitled
Increase the accuracy of model and publish it online
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