We have so far seen what decision trees are, why we need them, what are certain measures that help in creating a decision tree and how features are selected for a split at a particular node. There are a few more concepts that would help in using decision trees practically. However, I felt sharing a good piece of code to show how they are built, would help in taking a break from too much theory. To appreciate or understand this, please go through these posts before you start o