The Supervised Learning Workshop

5. Classification Techniques

Overview

This chapter introduces classification problems, classification using linear and logistic regression, K-nearest neighbors, and decision trees. You will also be briefly introduced to artificial neural networks as a type of classification technique.

By the end of this chapter, you will be able to implement logistic regression and explain how it can be used to classify data into specific groups or classes. You will also be able to use the k-nearest neighbors algorithm for classification and decision trees for data classification, including the ID3 algorithm. Additionally, you will be able to identify the entropy within data and explain how decision trees such as ID3 aim to reduce entropy.

Introduction ...