In this assignment, we will practice with the regression task. The real$\_$estate$\_$value has the information of over $400$ houses in Taiwan and their Unit Price $($price per squared unit$).$ A few rows in the data:

As you can see, there are five features:

$-$ HouseAge $$ age of the houses

$-$ DistanceToMRT $$ distance to the nearest MRT station

$-$ NoOfStores $$ number of convenient stores in the area

$-$ Latitude$/$Longtitude

And the target is the UnitPrice.

Please do these following:

$1.$ Import the data, split into training and testing $($you can choose the ratio$)$

$2.$ Examine the data and decide the preprocessing steps you need to do $$ you need to justify all preprocessing steps you have $($explain why you decide to do that step$)$

$3.$ Please fine tune a decision tree and a random forest on the processed data. Please report their performances.