Multicollinearity simply occurs when independent variables in the dataset are correlated. Well, that’s putting it rather simply. The truth is that it’s a nuanced concept, and can have a serious impact on your dataset if not dealt with at the right moment.

As a bad analogy, It always reminds me of that one terrible party crasher that claims to know someone important at the party, but just ruins the party’s outcome, making everyone wish they hadn’t come.

So how do we get rid of him/it?

Not so fast. You see, many data science newbies like myself have succumbed to the…

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