// model evaluation & validation · application
In the previous section, various learning algorithms were explored which work in the Supervised Learning setup, however, the models created using these algorithms need to be evaluated and can often lead to the problem of overfitting.
In this section, various methods of evaluating and validating a model explored in the theory section will be put to use by using Python and R.

