Here is your task:

With the following data

$14\mathrm{.}34$

$15\mathrm{.}7$

$19\mathrm{.}98$

$20\mathrm{.}83$

$21\mathrm{.}82$

$24\mathrm{.}04$

$23\mathrm{.}24$

$17\mathrm{.}89$

$24\mathrm{.}8$

$23\mathrm{.}95$

$22\mathrm{.}61$

$27\mathrm{.}54$

$20\mathrm{.}13$

$20\mathrm{.}68$

$24\mathrm{.}86725275$

$25\mathrm{.}34907692$

a$)$ Construct a matrix with the proper package

b$)$ Binarize the data

c$)$ Calculate the variance of the data

d$)$ Normalize the data with L$1$ and L$2$ procedures

e$)$ Train the machine with the categorical data Bad, Worse, Worst, Good, Very

Good, Excellent by using appropriate encoder

f$)$ Select Worse, Worst, Very Good and Excellent and encode these categorical

data

g$)$ Decode the encoded data

h$)$ Like any good coders your code should have comments

i$)$ Take screenshots of your code and the corresponding outputs and upload as jpg

or pdf files in the canvas. No HEIC extension please.