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Machine Learning with scikit-learn Quick Start Guide

You're reading from   Machine Learning with scikit-learn Quick Start Guide Classification, regression, and clustering techniques in Python

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781789343700
Length 172 pages
Edition 1st Edition
Languages
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Author (1):
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Kevin Jolly Kevin Jolly
Author Profile Icon Kevin Jolly
Kevin Jolly
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Table of Contents (10) Chapters Close

Preface 1. Introducing Machine Learning with scikit-learn 2. Predicting Categories with K-Nearest Neighbors FREE CHAPTER 3. Predicting Categories with Logistic Regression 4. Predicting Categories with Naive Bayes and SVMs 5. Predicting Numeric Outcomes with Linear Regression 6. Classification and Regression with Trees 7. Clustering Data with Unsupervised Machine Learning 8. Performance Evaluation Methods 9. Other Books You May Enjoy

Introducing Machine Learning with scikit-learn

Welcome to the world of machine learning with scikit-learn. I'm thrilled that you have chosen this book in order to begin or further advance your knowledge on the vast field of machine learning. Machine learning can be overwhelming at times and this is partly due to the large number of tools that are available on the market. This book will simplify this process of tool selection down to one – scikit-learn.

If I were to tell you what this book can do for you in one sentence, it would be this – The book gives you pipelines that can be implemented in order to solve a wide range of machine learning problems. True to what this sentence implies, you will learn how to construct an end-to-end machine learning pipeline using some of the most popular algorithms that are widely used in the industry and professional competitions, such as Kaggle.

However, in this introductory chapter, we will go through the following topics:

  • A brief introduction to machine learning
  • What is scikit-learn?
  • Installing scikit-learn
  • Algorithms that you will learn to implement scikit-learn in this book

Now, let's begin this fun journey into the world of machine learning with scikit-learn!

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