Feature selection

In real time we will have lot of variables/features and some of the variables might carry same information(like age and date of birth),some of the variables like firstName, LastName etc.. which wont have any values during model building, so we need to remove the variables and this process we called it Feature selection. Let’s takeContinue reading “Feature selection”

Spearman Rank Correlation

Rank correlation is when two variables are ranked the change in one shows the same/positive/negative change in another rank when we measure it across two points. Don’t worry if you still don’t understand, we will find Kendall rank correlation using below dataset. We are trying to see if there is any correlation if size ofContinue reading “Spearman Rank Correlation”