add new columns to your data for new labels generated in k-Means andAgglomerative methods. Name the new data file, df_Quiz.

Based on the dataframe generated in practice 2, use the loc command to chooseonly rows from index 100 to index 500 and columns Age, Scaled_Age and Age_Comparison.Save the results in a new dataframe named df_quiz and reset the index

Apply k-Means to cluster your data into TWO clusters and generate K-meanslabels

Consider the following DataFrame Gr and answer any four questions from (i)- (v)   Name             Age0  Rashmi          A11  Harsh            A22  Ganesh         B13  Priya             A14  Vivek            B25  Anita            A26  Karthik         A1  5. Write down the command that will give the following output. Name                Age0  Rashmi            A11  Harsh             A22  Ganesh            B13  Priya             A14  Vivek             B2*1 pointa. print(Gr.iloc[0:5])b. print(Gr[0:5])c. Bothd. None6. The teacher needs to add a column called Percentage with the following data          [92,89,None,95,68,None,93] Help her to identify the correct set of statement/s from the given options :*1 pointa. Gr.column[‘Percentage’]=[92,89,None, 95,68,None ,93]b. Gr[‘ Percentage’]=[92,89,None, 95,68,None ,93]c. Gr.loc[‘Percentage’]= [92,89,None,95,68,None,93]d. Both (b) and (c) are correct7. Which of the following statement/s will  drop the column Grade by name?*1 pointa. Gr.drop[‘Grade’]b. Gr.drop(‘Grade’, axis=1)c. Both a & bd. None of the above8. Which of the following command will display the column labels of the DataFrame?*1 pointa. print(Gr.columns())b. print(Gr.column())c. print(Gr.column)d. print(Gr.Columns)

Write command to create a dataframe to store marks of 3 subjects . columns can be named as ["GE", "SEC","VAC "]. Rows are indexed by rollno of the students [25,30,50]

In preparation for this tutorial: a) Download the Data from Blackboard. B) Launch JupyterNotebook. C) Create a new Notebook. D) Import pandas and numpy libraries. E) Import dataand name it df.