Python Machine Learning Cookbook

Chapter 3. Predictive Modeling

In this chapter, we will cover the following recipes:

• Building a linear classifier using Support Vector Machines (SVMs)
• Building a nonlinear classifier using SVMs
• Tackling class imbalance
• Extracting confidence measurements
• Finding optimal hyperparameters
• Building an event predictor
• Estimating traffic

Introduction

Predictive modeling is probably one of the most exciting fields in data analytics. It has gained a lot of attention in recent years due to massive amounts of data being available in many different verticals. It is very commonly used in areas concerning data mining to forecast future trends.

Predictive modeling is an analysis technique that is used to predict the future behavior of a system. It is a collection of ...