Hello…

Would I like to know Factor Analysis and Principal Component Analysis in depth?

How will it be helpful to Data Scientist?

Thanks

Hello…

Would I like to know Factor Analysis and Principal Component Analysis in depth?

How will it be helpful to Data Scientist?

Thanks

@hargan.gandhi-

**Factor Analysis**- It is the correlation method to find and describe the underlying factor driving data values for a large data set of variables.

**Why we need**

1- Determine if a factor is important or not.

2-Examine the interaction of the variables on the factor.

**PCA**- It is a mathematical procedure that uses an orthogonal transformation to convert a set of values of possibly correlated M variable into a set of values of K uncorrelated variables called principal component.

Hope this helps!

Regards,

Hinduja