Dataset: https:$//$drive$.$google.com$/$file$/$d$/1$NgfdUriW$5$pubYGjzpxZ$4$qWQTkZ$\_$EX$9$Jy$/$view$?$usp$=$share$\_$link

Use python based APIs and perform the following following classes of activities by using above dataset.

Ensemble ML

Justify your design choices at each step: Write as a markdown cell in jupyter notebook at the beginning of each subsection.

$1.$ Perform and explain necessary pre$-$processing $/$ feature engineering on this dataset $[0\mathrm{.}5]$

$2.$ Perform the Machine Learning activity. Explain Attributes of interest, base classifier chosen with reason, model selected with reason $[1\mathrm{.}5]$

$3.$ Quantify and explain the quality of your ML model. Explain the choice of evaluation metric $[1\mathrm{.}5]$

$4.$ Your observation about the results $($Hint: comment on the problem statement and conclude the effectiveness of the machine learning activity$)[0\mathrm{.}5]$