[P] My first blog post – on how to plot decision boundaries

Hey guys, I have written my first blog post on how to plot decision boundaries for classification models. Plotting decision boundaries can help immensely in the model selection and hyperparameter tuning process, as it can help detect overfitting or underfitting. I noticed that many online explanations and tutorials explaining overfitting rely on 2D datasets (i.e. Such boundaries can be easily plotted on a 2D plane, but what if your data contains six input features? One can use dimensionality reduction to plot the actual points, but what about the decision boundaries themselves?