Python, Linear Regression, Correlation, Sklearn, Statistics.
multicollinearity, we place each feature x as a target y in the linear regression equation. If we can predict any feature xi by using other x’s, then we do not need xi. The best way to examine multicollinearity in a dataset is to use a correlation matrix. Correlaation Matrix Example No