Скачать или смотреть CoronaVirus Prediction Model Using Python and Power BI [Custom model]

In this video, we have created a custom model that models the trends of Wuhan (virus birth) in order to apply them on other states and countries. The reason we used Wuhan is because it’s the only country that managed to bring their cases down to zero; assuming we trust their numbers. The aim of this model is to predict when (date) coronavirus confirm cases will hit zero by state and country and what will the numbers look like.

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http://ipidata.teachable.com/

CoronaVirus Prediction Model Using Python and Power BI [Custom model]
Predicting when CoronaVirus Cases will hit Zero using Python and Power BI

PLEASE DO NOT USE THIS MODEL TO TAKE ANY DECISIONS. THIS MODEL IS BASED ON A LOT OF ASSUMPTIONS. MAKE SURE YOU READ THE NOTES AND UNDERSTAND THEM.

*** Do not use the Estimations below to make any decisions ***

Model Aim:
The aim of this model is to give an estimation of when CoronaVirus cases will hit zero per Country & State

This model takes Hubei's (China) trends and applies them in each state. Hubei is the only state that reached zero cases up until now.

Assumptions:
We assume that other countries/states will follow Hubei's trend - Which is not the safest assumption to make

We assume that current conditions will stay the same (Social distancing & contact tracing)

Other Notes:
We do not take into account the following: Second wave, weather, population, social distancing measures & vaccine discovery

Est Recoveries are not calculated correctly. Working on it

Watch the YouTube video below for full methodology & code

GitHub Calendar file:
https://github.com/Pitsillides91/Pyth...

Data Analytics Course Link: http://ipidata.teachable.com/

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