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. If you enjoy these tutorials & would like to support them then the easiest way is to simply like the video & give it a thumbs up & also it's a huge help to share these videos with anyone who you think would find them useful. Please consider clicking the SUBSCRIBE button to be notified for future videos & thank you all for watching. You can find me on: GitHub - https://github.com/bhattbhavesh91 Medium - https://medium.com/@bhattbhavesh91 #Multicollinearity #LinearRegresson #MachineLearning #ML #DataScience #Python
Mathematics of Multicollinearity | Detecting Multicollinearity using Python - YouTube |
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| Education | Upload TimePublished on 9 Jun 2019 |
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