correlation

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”

Kendall 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 “Kendall Rank Correlation”

Chi Square

We know correlation is used to check the relation between two continuous variables,We should also have some kind of mechanism to check the relation between two categorical variables,and that is Chi-Square. Steps to check the relation between two categorical variables: Define hypothesis Define alpha Find out the Degree of freedom Define the rule Calculate theContinue reading “Chi Square”

Spearman Rank Correlation

In general correlation means the relation between two different entities will come under Bi varient analysys . In this blog we will discuss about below item. Co Variance correlation coefficient Coefficient of Variation Covariance: Covariance is a measure of how much two random variables/datasets vary together or When we want to understand the linearity betweenContinue reading “correlation”