Name the sYou are tasked with developing a machine learning model to predict housing price

based on various features.

You have a dataset containing information of the houses such as;

square meters $($numeric$)$

number of bedrooms and bathrooms $($numeric$)$

neighborhood crime rate $($percentage$)$

school ratings $($numeric$)$

Proximity to public transportation $($numeric $+$ letter $($near$,$ not so far, far$)).$

you should consider some major steps to reach your final goal.

$1.$ name the steps.

$2.$ each of these steps, have sub$-$steps. mention them and clarify why you are using each step including models$/$ methods you should use for each step.

$3.$ for the sample data set of housing price, draw a flowchart to show all the steps.

your answer, should be a delailed report explaining your methodology, resuls, and

conclusions.