Multicollinearity - Why its bad?

Multicollinearity is like a villain who keeps hurting our hero (Regression model). I have created a movie which shows the birth of the villain, how you can find him & smartly destroy him so that our hero triumphs everytime.

What is multicollinearity? When the independent variables in a regression model are correlated then it is a state of multicollinearity, but why is is harmful for our Regression model? Why does it only affect Linear Regression, why not Decision Tree?

This video will answer these questions -

  1. How to solve multicollinearity?
  2. What is multicollinearity?
  3. How to detect multicollinearity?

To view the video

Multicollinearity - Why its bad?

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