(a) How is to use correlation to understand the relationship between variables? Explain Confusion matrix. (b) Define the linear regression method with suitable examples and diagrams. (c) Explain in detail about the concept of gradient based learning. (d) Define data cleaning. Explain the different techniques for handling missing values.