This code: ```python x = df.drop('target', axis='columns') ``` is performing the following operation in...

This code:

x = df.drop('target', axis='columns')

is performing the following operation in a pandas DataFrame (df):

1. df.drop(): The drop method is used to remove a specific row or column from a DataFrame.
2. 'target': This specifies the name of the column that is to be removed.
3. axis='columns': This specifies that the operation should be applied to the columns (not rows).
4. Assignment to x: The resulting DataFrame, with the target column removed, is assigned to the variable x.

In summary:

• The code creates a new DataFrame (x) that contains all of the columns from the original DataFrame df, except the column named 'target'.
• The original DataFrame df remains unchanged, as drop does not modify it in place unless specified with the inplace=True parameter.