PLEASE PROVIDE THE CODE IN PYTHON. THANKS # import the necessary modules house $=$ # read in the csv file y$,$ X $=$ # create matrices y$,$ from the price column, and X$,$ from the bedrooms, bathrooms, sqft$\_$living, sqft$\_$lot, yr$\_$built, and sqft$\_$living$15$ columns vif $=$ # calculate the VIF for each X$\_$i result $=[$round$($num$,6)$ for num in vif$]$ print$($result$)2\mathrm{.}11$ LAB: Calculating VIF using variance$\_$inflation$\_$factor$()$ The kc$\_$house$\_$data dataset contains information on house sale prices in King County, Washington from May $2014$ and May $2015.$ The columns include sale price, and a number of variables that might affect the price. Load the data set into a data frame. Create matrices y$,$ from the price column, and X$,$ from the bedrooms, bathrooms, sqft$\_$living, sqft$\_$lot, yr$\_$built and sqft$\_$living$15$ columns. calculate the VIF for each predictor variable. Ex: If sqft$\_$lot$15$ is used instead of soft$\_$living$15$ the output is: $[1\mathrm{.}563916,2\mathrm{.}961241,2\mathrm{.}742922,2\mathrm{.}076869,1\mathrm{.}382412,2\mathrm{.}094995]$