Malicious URL Detection. This is a dataset of malicious URLs such as spam, phishing, and ex

ploits.

$$ URL Data Set $($Matlab$).$ The dataset is url.mat $($approx $500$Mb size with $2\mathrm{.}4$ million data inside$)$

Once you download this dataset you should have a feature names file and the data. The URLs are

labeled benign and malicious. You can train and evaluate the accuracy of the anomaly detection

algorithms on an appropriate split between train and test sets.

Please write a code for the above question with two Model method atleast i$.$e Isolation forest etc. Thank you