35. Multicollinearity | How To Detect And Solve It | Real World Python Example
Channel: Data Science Diaries
Date: 2022-07-16

In regression, "multicollinearity" refers to predictors that are correlated with other predictors. Multicollinearity occurs when your model includes multiple factors that are correlated not just to your response variable, but also to each other. In other words, it results when you have factors that are a bit redundant

Car sales dataset kaggle - 
https://www.kaggle.com/datasets/gagandeep16/car-sales

Parent GIT repository for all the ML Youtube videos - 
https://github.com/MandeepKharb/Youtube

Git location for the python notebook of this video -
https://github.com/MandeepKharb/Youtube/blob/main/ML/Multicollinearity.ipynb

Complete ML Playlist  - 
https://youtube.com/playlist?list=PLfFqtQvlXuWkUrMK0mjNrdPvgqvW20_L5

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