✍ ML for Newbies — Week 2

In week 1 we wrote the k-NN classifier. The idea behind k-NN classifier was that similar points are bunched close together.

This week we’ll look at a flowchart-like classifier called decision tree. The idea behind decision trees is to repeatedly split the dataset so that we can get a pure dataset. Each split guides us along a path in the flowchart till we finally reach a class label. There are different ways to create decision trees and different ways to measure the purity of a dataset.

Part 5 in the series gives a primer on the concepts behind decision trees.

Click here for part 5

Throughout this weekend I’ll be writing posts about decision trees so be sure to come back and check. 😊