Use python based APIs and perform the Classification of activities by dataset

Classification

CLASSIFICATION $($any of the Logistic Regression $/$ SVM $/$ Decision Tree$/$ Na$$ve Bayes$/$KNN$).$ 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 the choice of target attribute, classification type, 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$)[0\mathrm{.}5]$