Practice of Normal Distribution - Test and Transformation.
many models expect features to be normally distributed.
Here we can check normality
1)stats.normaltest - which returns chisquare and p-value. graphical plots 1)distplot 2)qq-plot
if not normal- how to transform
1)using scipy and stat library 2)using sklearn - Function and Power Transformer.