Please access the BostonHousing dataset from mlbench package &

Implement the following algorithms.

$($if tuning parameter is present in any of the algorithms, use

necessary hyperparameter tuning strategy of your choice.$)$

Split the data set into training $(65\%)$ & test set.

Do some exploration & also check correlation plot $($using numbers$)$

For resampling, use any method other than "repeatedcv".

Implement the following algorithms:

Linear regression,

$3$ Penalized regression models such as Ridge regression, Lasso

regression, Elasticnet regression,

Support vector machine,

K$-$nearest neighbors.

Please submit code $($in $1$ file as R script$)$ so that it becomes possible to

replicate. Please name the file after your full name.

You can include your comments in R script using # symbol.