Following is a dataset.Write a simple python code to find the best$-$fit polynomial line for

the dataset and plot the best fit line against the dataset. $4$

x y

$0\mathrm{.}01\mathrm{.}0$

$0\mathrm{.}51\mathrm{.}6$

$1\mathrm{.}02\mathrm{.}2$

$1\mathrm{.}52\mathrm{.}9$

$2\mathrm{.}03\mathrm{.}5$

$2\mathrm{.}54\mathrm{.}3$

$3\mathrm{.}05\mathrm{.}1$

$3\mathrm{.}56\mathrm{.}0$

$4\mathrm{.}07\mathrm{.}0$

$4\mathrm{.}58\mathrm{.}0$

$5\mathrm{.}09\mathrm{.}1$

$5\mathrm{.}510\mathrm{.}3$

$6\mathrm{.}011\mathrm{.}5$

$6\mathrm{.}512\mathrm{.}8$

$7\mathrm{.}014\mathrm{.}2$

$7\mathrm{.}515\mathrm{.}7$

$8\mathrm{.}017\mathrm{.}2$

$8\mathrm{.}518\mathrm{.}8$

$9\mathrm{.}020\mathrm{.}5$

$9\mathrm{.}522\mathrm{.}3$

$10\mathrm{.}024\mathrm{.}1$

B$)$ Can you think of a Genetic Algorithm strategy to provide an alternative way to find out the

coefficients for the above best fit line? Explain your strategy. $6$

C$)$ Write a computer code implementing your Genetic Algorithm strategy to find out the

coefficients. Compare them to what you obtained in question no $(1.$A$).$