Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781789343700
Length 172 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Kevin Jolly Kevin Jolly
Author Profile Icon Kevin Jolly
Kevin Jolly
Arrow right icon
View More author details
Toc

Table of Contents (10) Chapters Close

Preface 1. Introducing Machine Learning with scikit-learn FREE CHAPTER 2. Predicting Categories with K-Nearest Neighbors 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!

You have been reading a chapter from
Machine Learning with scikit-learn Quick Start Guide
Published in: Oct 2018
Publisher: Packt
ISBN-13: 9781789343700
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image