A clustering algorithm looks at a number of data points and automatically finds data points that are related or similar to each other. In...

Using Multiple Decision Trees One of the weaknesses of using a single decision tree is that decision tree can be highly sensitive to...

One Hot Encoding for Categorical Features In the examples we have seen so far, each of the features could take on only one of two...

When building a decision tree, the way we will decide what feature to split on at a node will be based on what choice of feature reduces...

In this section, we will learn about a practical and very commonly used learning algorithm: the decision tree. We will also learn about...