Skip to content

Latest commit

 

History

History
12 lines (10 loc) · 512 Bytes

README.md

File metadata and controls

12 lines (10 loc) · 512 Bytes

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