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Python Machine Learning Cookbook

You're reading from Python Machine Learning Cookbook 100 recipes that teach you how to perform various machine learning tasks in the real world

Product type Paperback

Published in Jun 2016

Publisher Packt

ISBN-13 9781786464477

Length 304 pages

Edition 1st Edition

Languages

Python

Concepts

Machine Learning

Authors (2):

Vahid Mirjalili

Prateek Joshi

View More author details

Table of Contents (14) Chapters

Preface

1. The Realm of Supervised Learning FREE CHAPTER

2. Constructing a Classifier

3. Predictive Modeling

4. Clustering with Unsupervised Learning

5. Building Recommendation Engines

6. Analyzing Text Data

7. Speech Recognition

8. Dissecting Time Series and Sequential Data

9. Image Content Analysis

10. Biometric Face Recognition

11. Deep Neural Networks

12. Visualizing Data

Index

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

The rest of the chapter is locked

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Authors (2)

Joshi

Joshi

Vijay Joshi is a full stack web developer having more than a decade of experience in working with PHP and JavaScript.

See other products by Joshi

Vahid Mirjalili

Vahid Mirjalili

Vahid Mirjalili is a deep learning researcher focusing on CV applications. Vahid received a Ph.D. degree in both Mechanical Engineering and Computer Science from Michigan State University.

See other products by Vahid Mirjalili

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