'Gender', 'Ever$\_$Married', 'Age', 'Profession', 'Work$\_$Experience', 'Spending$\_$Score', 'Family$\_$Size' $]]$

Part $1$: Pre$-$Processing $(7$ Marks$)$

Load the dataset into a Pandas DataFrame.

Q $1\mathrm{.}1$ Perform one$-$hot encoding on the categorical variables AND remove all rows with missing values $[5$ Points$]$

# A $1\mathrm{.}1$

# YOUR CODE HERA

#raise NotImplementedError$()$

df$.$ shape

$(8068,7)$

assert df$.$ shape$[1]==19$

assert df$.$ shape $[]==6969$