Learning scikit-learn: Machine Learning in Python

Incorporating machine learning in your applications is becoming essential. As a programmer this book is the ideal introduction to scikit-learn for your Python environment, taking your skills to a whole new level.

Learning scikit-learn: Machine Learning in Python

Raúl Garreta, Guillermo Moncecchi

Incorporating machine learning in your applications is becoming essential. As a programmer this book is the ideal introduction to scikit-learn for your Python environment, taking your skills to a whole new level.
Packt Subscription
FREE
$9.99/m after trial
eBook
$12.60
RRP $17.99
Save 29%
Print + eBook
$29.99
RRP $29.99
What do I get with a Packt subscription?
  • Exclusive monthly discount - no contract
  • Unlimited access to entire Packt library of 6500+ eBooks and Videos
  • 120 new titles added every month, on new and emerging tech
What do I get with an eBook?
  • Download this book in EPUB, PDF, MOBI formats
  • DRM FREE - read and interact with your content when you want, where you want, and how you want
  • Access this title in the subscription reader
What do I get with Print & eBook?
  • Get a paperback copy of the book delivered to you
  • Download this book in EPUB, PDF, MOBI formats
  • DRM FREE - read and interact with your content when you want, where you want, and how you want
  • Access this title in the subscription reader
What do I get with a Video?
  • Download this Video course in MP4 format
  • DRM FREE - read and interact with your content when you want, where you want, and how you want
  • Access this title in the subscription reader
$0.00
$12.60
$29.99
$0 p/m after trial
RRP $17.99
RRP $29.99
Subscription
eBook
Print + eBook
Start 10 Day Trial

Frequently bought together


Learning scikit-learn: Machine Learning in Python Book Cover
Learning scikit-learn: Machine Learning in Python
$ 17.99
$ 12.60
scikit-learn: Machine Learning Simplified Book Cover
scikit-learn: Machine Learning Simplified
$ 79.99
$ 56.00
Buy 2 for $30.10
Save $67.88
Add to Cart

Book Details

ISBN 139781783281930
Paperback118 pages

Book Description

Machine learning, the art of creating applications that learn from experience and data, has been around for many years. However, in the era of “big data”, huge amounts of information is being generated. This makes machine learning an unavoidable source of new data-based approximations for problem solving.

With Learning scikit-learn: Machine Learning in Python, you will learn to incorporate machine learning in your applications. The book combines an introduction to some of the main concepts and methods in machine learning with practical, hands-on examples of real-world problems. Ranging from handwritten digit recognition to document classification, examples are solved step by step using Scikit-learn and Python.

The book starts with a brief introduction to the core concepts of machine learning with a simple example. Then, using real-world applications and advanced features, it takes a deep dive into the various machine learning techniques.

You will learn to evaluate your results and apply advanced techniques for preprocessing data. You will also be able to select the best set of features and the best methods for each problem.

With Learning scikit-learn: Machine Learning in Python you will learn how to use the Python programming language and the scikit-learn library to build applications that learn from experience, applying the main concepts and techniques of machine learning.

What You Will Learn

  • Set up scikit-learn inside your Python environment
  • Classify objects (from documents to human faces and flower species) based on some of their features, using a variety of methods from Support Vector Machines to Naïve Bayes
  • Use Decision Trees to explain the main causes of certain phenomenon such as the Titanic passengers’ survival
  • Predict house prices using regression techniques
  • Display and analyse groups in your data using dimensionality reduction
  • Make use of different tools to preprocess, extract, and select the learning features
  • Select the best parameters for your models using model selection
  • Improve the way you build your models using parallelization techniques

Authors

Book Details

ISBN 139781783281930
Paperback118 pages
Read More

Read More Reviews

Recommended for You

scikit-learn: Machine Learning Simplified Book Cover
scikit-learn: Machine Learning Simplified
$ 79.99
$ 56.00
Mastering Machine Learning with scikit-learn - Second Edition Book Cover
Mastering Machine Learning with scikit-learn - Second Edition
$ 35.99
$ 25.20
TensorFlow 1.x Deep Learning Cookbook Book Cover
TensorFlow 1.x Deep Learning Cookbook
$ 35.99
$ 25.20
Mastering Machine Learning with scikit-learn Book Cover
Mastering Machine Learning with scikit-learn
$ 26.99
$ 18.90
OpenCV: Computer Vision Projects with Python Book Cover
OpenCV: Computer Vision Projects with Python
$ 63.99
$ 44.80
scikit-learn Cookbook - Second Edition Book Cover
scikit-learn Cookbook - Second Edition
$ 31.99
$ 22.40