Variables Reduction Techniques - Ready Reckoner


Variables Reduction Techniques

At times during supervised learning  (such as Logistic and Linear Regression) and unsupervised learning (such as Cluster Analysis), we need to check multicollinearity in the data.

Variables should not be correlated with each other. If they are, we need to remove the redundant variables.However by Removing variables, we loose information, which we don’t want to.

 Also, if A, B and C are correlated, which of the two should be removed, is always a puzzle. So we offer you 3 techniques that would help you in variables reduction.

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