Book Image

Python Machine Learning Cookbook

By : Prateek Joshi, Vahid Mirjalili
Book Image

Python Machine Learning Cookbook

By: Prateek Joshi, Vahid Mirjalili

Overview of this book

Machine learning is becoming increasingly pervasive in the modern data-driven world. It is used extensively across many fields such as search engines, robotics, self-driving cars, and more. With this book, you will learn how to perform various machine learning tasks in different environments. We’ll start by exploring a range of real-life scenarios where machine learning can be used, and look at various building blocks. Throughout the book, you’ll use a wide variety of machine learning algorithms to solve real-world problems and use Python to implement these algorithms. You’ll discover how to deal with various types of data and explore the differences between machine learning paradigms such as supervised and unsupervised learning. We also cover a range of regression techniques, classification algorithms, predictive modeling, data visualization techniques, recommendation engines, and more with the help of real-world examples.
Table of Contents (19 chapters)
Python Machine Learning Cookbook
About the Author
About the Reviewer

Building a face recognizer using Local Binary Patterns Histogram

We are now ready to build a face recognizer. We need a face dataset for training, so we've provided you a folder called faces_dataset that contains a small number of images sufficient for training. This dataset is a subset of the dataset that is available at This dataset contains a good number of images that we can use to train a face-recognition system.

We will use Local Binary Patterns Histograms to build our face-recognition system. In our dataset, you will see different people. Our job is to build a system that can learn to separate these people from one another. When we see an unknown image, this system will assign it to one of the existing classes. You can learn more about Local Binary Patterns Histogram at Let's see how to build a face recognizer.