Multicollinearity using VIF

Introduction Collinearity is a condition in the data where we have 2 features which are heavily correlated with each other. In such situations, we could check the Collinearity using a heat map and then omit one of the features based on the results. Multicollinearity on the other hand is a more complicated problem to solve. In Multicollinearity, chances…Read more