Design the following steps involved in data pre$-$processing using Sklearn libraries considering Health Dataset.

$\backslash$table$[[$Ethnicity$,$Height $($CM$),$Weight $($Kg$),$Will survive till $70],[$White$,186,90,$Yes$],[$African$,185,98,$No$],[$White$,175,80,$No$],[$White$,180,88,$Yes$],[$Asian$,178,,$No$],[$Asian$,172,72,$Yes$],[$African$,178,75,$No$],[$White$,,89,$Yes$],[$African$,186,90,$Yes$]]$

Import Libraries

Importing the dataset

Splitting the dataset into the Training set and Test set

Taking care of missing values

Encoding the Independent Variable

Encoding the dependent Variable

Feature Scaling $-$Apply Standard Scalar on complete X$-$train and X$-$test