Do the appropriate preprocessing of the data like identifying NULL or Missing Values if

any, handling of outliers if present in the dataset, skewed data etc. Apply appropriate

feature engineering techniques for them. $(1$ M$)$

b$.$ Apply the feature transformation techniques like Standardization, Normalization, etc.

You are free to apply the appropriate transformations depending upon the structure

and the complexity of your dataset. $(1$ M$)$

c$.$ Do the correlational analysis on the dataset. Provide a visualization for the same.