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?

Link to the notebook - https://github.com/bhattbhavesh91/mul...

If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I'll do my best to answer those.

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You can find me on:
GitHub - https://github.com/bhattbhavesh91
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