The Applied Artificial Intelligence Workshop

3. An Introduction to Classification

Overview

This chapter introduces you to classification. You will implement various techniques, such as k-nearest neighbors and SVMs. You will use the Euclidean and Manhattan distances to work with k-nearest neighbors. You will apply these concepts to solve intriguing problems such as predicting whether a credit card applicant has a risk of defaulting and determining whether an employee would stay with a company for more than two years. By the end of this chapter, you will be confident enough to work with any data using classification and come to a certain conclusion.

Introduction

In the previous chapter, you were introduced to regression models and learned how to fit a linear regression model with single ...