Linear Regression:Logistic Regression:Decision Trees:Random Forests:Support Vector Machines $($SVM$)$:Neural Networks:K$-$Nearest Neighbors $($K$-$NN$)$:Clustering Algorithms:Principal Component Analysis $($PCA$)$:Natural Language Processing $($NLP$)$:Compare any $5$ techniques researched, in a table, with regards to their advantages and disadvantages. Provide the definition as well as $2$ advantages and $2$ disadvantages for each of the $5$ techniques. $(25$ marks$)$