Use python based APIs and perform the Ensemble ML classes of activities by dataset $[$https:$//$drive$.$google.com$/$file$/$d$/1$NgfdUriW$5$pubYGjzpxZ$4$qWQTkZ$\_$EX$9$Jy$/$view$?$usp$=$share$\_$link.$]$

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

$2.$ Perform the Machine Learning activity. Explain Attributes of interest, base classifier chosen with reason, model selected with reason

$3.$ Quantify and explain the quality of your ML model. Explain the choice of evaluation metric

$4.$ Your observation about the results $($Hint: comment on the problem statement and conclude the effectiveness of the machine learning activity$)$