epare a Python program to do the following tasks. Please no$$ce that the program must be runnable in Google$$s Colab. $($Only submit a single file as the assignment with the format of $.$ipynb$)$

$1)$ Read data from the file $$pima$-$indians$-$diabetes.data.csv$$ given in the A$2$L$.$

$2)$ Print the features of the first $5$ samples.

$3)$ Calculate and print the correla$$on between the features $($columns$).$

$4)$ Rescale all $9$ features into the range of $(0,1)$ and print the scaled value of the features of the first $5$

samples.

$5)$ Calculate and print the correla$$on of the features for the rescaled data.

$6)$ Have the correla$$ons changed? $($Please answer this ques$$on in a Text box inside your program.$)$

$7)$ Group data by $$class$.$

$8)$ Calculate the correla$$on of the features $($columns$)$ over samples in $$class$=0.$

$9)$ Are the correla$$ons equal to that of the whole data $($item $(3)$ above$)?($Please answer this ques$$on in

a Text box inside your program.$)($Hint: You may see NaN for some of the results. Do not worry. This is

because the value of one of the features for all of the samples are equal; $0$ in this case$).$

$10)$ Calculate the correla$$on of the features $($columns$)$ over samples in $$class$=1.$

$11)$ Are the correla$$ons between features in class $1$ and class $0$ the same? $($Please answer this ques$$on

in a Text box inside your program.$)$