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Supervised Machine Learning with Python

You're reading from Supervised Machine Learning with Python Develop rich Python coding practices while exploring supervised machine learning

Product type Paperback

Published in May 2019

Publisher Packt

ISBN-13 9781838825669

Length 162 pages

Edition 1st Edition

Languages

Python

Tools

Scikit-learn

Concepts

Machine Learning

Author (1):

Taylor Smith

View More author details

Table of Contents (6) Chapters

Preface

1. First Step Towards Supervised Learning FREE CHAPTER

2. Implementing Parametric Models

3. Working with Non-Parametric Models

4. Advanced Topics in Supervised Machine Learning

5. Other Books You May Enjoy

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Technical requirements

For this chapter, you will need to install the following software, if you haven't already done so:

Jupyter Notebook
Anaconda
Python

The code files for this chapter can be found at https://github.com/PacktPublishing/Supervised-Machine-Learning-with-Python.

The rest of the chapter is locked

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Authors (1)

Taylor Smith

Taylor Smith

Taylor Smith is a machine learning enthusiast with over five years of experience who loves to apply interesting computational solutions to challenging business problems. Currently working as a principal data scientist, Taylor is also an active open source contributor and staunch Pythonista.

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