2. Identify and display the names of the non-numeric columns [hint: you can access the names of the columns in a dataframe df using df.columns. You can also use df.head() to see the column names and the first five rows on data yourself.] 3. Display the mean and the standard deviation of the numeric feature columns. You can select a column from the loaded dataframe using the syntax df[colname] and multiple columns using the syntax df[[col1, col2, col3]]. You can then compute the mean and the standard deviation on these columns using the approach shown in class. 4. Normalize the numeric columns using the min-max method shown in class. 5. Display the minimum and maximum values of each numeric feature column of the normalized data. The minimum values should be comparable to zero and the maximum values should be one (1.0).