$($Using Python$)$ Think of a classification problem from your own experience and interest $($e$.$g$.,$ distinguishing

between two types of things$/$living

beings$/$weather$/$personality$/$vehicle$/$industry$/$sports$/$houses$/$professionals etc.$).$ Collect some real$-$

world data to solve that classification problem. Have at least two classes, two attributes and at least

$5$ instances per class. Create a dataframe with this data and paste a screenshot of it$.$ Also give a

short description of the data $($number of instances, number of attributes and the list of attributes,

list of classes, and creator: Your name$).$

The classification problem should be a new one, but the dataset may contain data that are new

$($generated by you by any rough measurements$)$ or collected from public domain. Please cite the

references$/$sources from which you collect the data.