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Machine Learning with scikit-learn Quick Start Guide

Machine Learning with scikit-learn Quick Start Guide

By : Jolly
4.2 (5)
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Machine Learning with scikit-learn Quick Start Guide

Machine Learning with scikit-learn Quick Start Guide

4.2 (5)
By: Jolly

Overview of this book

Scikit-learn is a robust machine learning library for the Python programming language. It provides a set of supervised and unsupervised learning algorithms. This book is the easiest way to learn how to deploy, optimize, and evaluate all of the important machine learning algorithms that scikit-learn provides. This book teaches you how to use scikit-learn for machine learning. You will start by setting up and configuring your machine learning environment with scikit-learn. To put scikit-learn to use, you will learn how to implement various supervised and unsupervised machine learning models. You will learn classification, regression, and clustering techniques to work with different types of datasets and train your models. Finally, you will learn about an effective pipeline to help you build a machine learning project from scratch. By the end of this book, you will be confident in building your own machine learning models for accurate predictions.
Table of Contents (10 chapters)
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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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Machine Learning with scikit-learn Quick Start Guide
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