https://github.com/jenil311/application-of-covid-19-spread-analysis

The objective of this project is to study the COVID-19 outbreak using basic statistical techniques and make short term predictions using ML regression methods.
https://github.com/jenil311/application-of-covid-19-spread-analysis

covid19-tracker machine-learning regression-analysis regression-models ridge-regression scikit-learn

Last synced: 26 days ago
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The objective of this project is to study the COVID-19 outbreak using basic statistical techniques and make short term predictions using ML regression methods.

• Host: GitHub
• URL: https://github.com/jenil311/application-of-covid-19-spread-analysis
• Owner: Jenil311
• Created: 2024-09-08T08:28:33.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-09-08T08:29:07.000Z (2 months ago)
• Last Synced: 2024-10-12T23:43:28.400Z (26 days ago)
• Topics: covid19-tracker, machine-learning, regression-analysis, regression-models, ridge-regression, scikit-learn
• Language: Jupyter Notebook
• Homepage:
• Size: 653 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Regression-Analysis-of-COVID-19

The objective of this Assignment is to study the COVID-19 outbreak using basic

visualization techniques. The active and closed cases were compared and the growth factor was calculated to observe the change in growth rate. Short term predictions were performed in order to study the impact and spread of the COVID-19 in coming days.

**Regression Methods Used:**

* Linear regression

* Polynomial Regression

* Ridge regression

* Polynomial Ridge regression

* SVM

* Decision tree