Bootstrap, Bagging, and Random Forests

Learn about Bootstrap, bagging, and random forest.

We'll cover the following

Let's cover the theoretical background and critical concepts governing decision tree learning and random forest.


Bootstrap is a widely applicable and powerful statistical tool that can quantify the uncertainty associated with a given estimator or statistical learning method. Consider that we have a dataset with 100 values and we want to estimate the sample’s mean. This can be done as follows:

Get hands-on with 1200+ tech skills courses.