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The Machine Learning Workshop

You're reading from The Machine Learning Workshop Get ready to develop your own high-performance machine learning algorithms with scikit-learn

Product type Paperback

Published in Jul 2020

Publisher Packt

ISBN-13 9781839219061

Length 286 pages

Edition 2nd Edition

Languages

Python

Tools

Jupyter

Concepts

Machine Learning

Author (1):

Hyatt Saleh

View More author details

Table of Contents (8) Chapters

Preface

1. Introduction to Scikit-Learn

2. Unsupervised Learning – Real-Life Applications FREE CHAPTER

3. Supervised Learning – Key Steps

4. Supervised Learning Algorithms: Predicting Annual Income

5. Supervised Learning – Key Steps

6. Building Your Own Program

Appendix

6. Building Your Own Program

Overview

In this chapter, we will present all the steps required to solve a problem using machine learning. We will take a look at the key stages involved in building a comprehensive program. We will save a model in order to get the same results every time it is run and call a saved model to use it for predictions on unseen data. By the end of this chapter, you will be able to create an interactive version of your program so that anyone can use it effectively.

The rest of the chapter is locked

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Authors (1)

Hyatt Saleh

Hyatt Saleh

Hyatt Saleh discovered the importance of data analysis for understanding and solving real-life problems after graduating from college as a business administrator. Since then, as a self-taught person, she not only works as a machine learning freelancer for many companies globally, but has also founded an artificial intelligence company that aims to optimize everyday processes. She has also authored Machine Learning Fundamentals, by Packt Publishing.

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