Search icon Close icon
Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.

Change country

Modal Close icon
Country selected Country selected
country flag United States
Country selected
country flag United Kingdom
Country selected
country flag India
Country selected
country flag Germany
Country selected
country flag France
Country selected
country flag Canada
Country selected
country flag Russia
Country selected
country flag Spain
Country selected
country flag Brazil
Country selected
country flag Australia
Country selected
country flag Argentina
Country selected
country flag Austria
Country selected
country flag Belgium
Country selected
country flag Bulgaria
Country selected
country flag Chile
Country selected
country flag Colombia
Country selected
country flag Cyprus
Country selected
country flag Czechia
Country selected
country flag Denmark
Country selected
country flag Ecuador
Country selected
country flag Egypt
Country selected
country flag Estonia
Country selected
country flag Finland
Country selected
country flag Greece
Country selected
country flag Hungary
Country selected
country flag Indonesia
Country selected
country flag Ireland
Country selected
country flag Italy
Country selected
country flag Japan
Country selected
country flag Latvia
Country selected
country flag Lithuania
Country selected
country flag Luxembourg
Country selected
country flag Malaysia
Country selected
country flag Malta
Country selected
country flag Mexico
Country selected
country flag Netherlands
Country selected
country flag New Zealand
Country selected
country flag Norway
Country selected
country flag Philippines
Country selected
country flag Poland
Country selected
country flag Portugal
Country selected
country flag Romania
Country selected
country flag Singapore
Country selected
country flag Slovakia
Country selected
country flag Slovenia
Country selected
country flag South Africa
Country selected
country flag South Korea
Country selected
country flag Sweden
Country selected
country flag Switzerland
Country selected
country flag Taiwan
Country selected
country flag Thailand
Country selected
country flag Turkey
Country selected
country flag Ukraine
Country selected
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
Hands-On Ensemble Learning with Python

You're reading from   Hands-On Ensemble Learning with Python Build highly optimized ensemble machine learning models using scikit-learn and Keras

Arrow left icon
Product type Paperback
Published in Jul 2019
Publisher Packt
ISBN-13 9781789612851
Length 298 pages
Edition 1st Edition
Languages
Tools
Concepts
Arrow right icon
Authors (2):
Arrow left icon
Konstantinos G. Margaritis Konstantinos G. Margaritis
Author Profile Icon Konstantinos G. Margaritis
Konstantinos G. Margaritis
Konstantinos G. Margaritis has been a teacher and researcher in computer science for more than 30 years. His research interests include parallel and distributed computing as well as computational intelligence and machine learning. He holds an M.Eng. in electrical engineering (Aristotle University of Thessaloniki, Greece), as well as an M.Sc. and a Ph.D. in computer science (Loughborough University, UK). He is a professor at the Department of Applied Informatics, University of Macedonia, Thessaloniki, Greece.
Read more
See other products by Konstantinos G. Margaritis
George Kyriakides George Kyriakides
Author Profile Icon George Kyriakides
George Kyriakides
George Kyriakides is a Ph.D. researcher, studying distributed neural architecture search. His interests and experience include automated generation and optimization of predictive models for a wide array of applications, such as image recognition, time series analysis, and financial applications. He holds an M.Sc. in computational methods and applications, and a B.Sc. in applied informatics, both from the University of Macedonia, Thessaloniki, Greece.
Read more
See other products by George Kyriakides
Arrow right icon
View More author details
Toc

Table of Contents (20) Chapters Close

Preface 1. Section 1: Introduction and Required Software Tools
2. A Machine Learning Refresher FREE CHAPTER 3. Getting Started with Ensemble Learning 4. Section 2: Non-Generative Methods
5. Voting 6. Stacking 7. Section 3: Generative Methods
8. Bagging 9. Boosting 10. Random Forests 11. Section 4: Clustering
12. Clustering 13. Section 5: Real World Applications
14. Classifying Fraudulent Transactions 15. Predicting Bitcoin Prices 16. Evaluating Sentiment on Twitter 17. Recommending Movies with Keras 18. Clustering World Happiness 19. Another Book You May Enjoy

Predicting Bitcoin Prices

Bitcoin and other cryptocurrencies have attracted the attention of many parties over the years, mainly due to their explosion in price levels, as well as the business opportunities that blockchain technologies offer. In this chapter, we will attempt to predict the next day's Bitcoin (BTC) price using historical data. There are many sources that offer cryptocurrency's historical price data. We will use Yahoo finance data, available at https://finance.yahoo.com/quote/BTC-USD/history/. In this chapter, we will focus on predicting future prices and leveraging that knowledge to invest in bitcoin.

The following topics will be covered in this chapter:

  • Time series data
  • Voting
  • Stacking
  • Bagging
  • Boosting
  • Random forests
lock icon The rest of the chapter is locked
arrow left Previous Section
Section 1 of 9
Next Section arrow right
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.
Sign up now
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
Start free trial
Renews at €18.99/month. Cancel anytime

Authors (2)

Left arrow icon
Profile icon Kyriakides
Kyriakides
George Kyriakides is a Ph.D. researcher, studying distributed neural architecture search. His interests and experience include automated generation and optimization of predictive models for a wide array of applications, such as image recognition, time series analysis, and financial applications. He holds an M.Sc. in computational methods and applications, and a B.Sc. in applied informatics, both from the University of Macedonia, Thessaloniki, Greece.
Read more
See other products by Kyriakides
Profile icon Margaritis
Margaritis
Konstantinos G. Margaritis has been a teacher and researcher in computer science for more than 30 years. His research interests include parallel and distributed computing as well as computational intelligence and machine learning. He holds an M.Eng. in electrical engineering (Aristotle University of Thessaloniki, Greece), as well as an M.Sc. and a Ph.D. in computer science (Loughborough University, UK). He is a professor at the Department of Applied Informatics, University of Macedonia, Thessaloniki, Greece.
Read more
See other products by Margaritis
Right arrow icon

Other recommended products

Related to this chapter
Left arrow icon
Ensemble Machine Learning Cookbook
Ensemble Machine Learning Cookbook
Read more
This book uses a recipe-based approach to showcase the power of machine learning algorithms to build ensemble models using Python libraries. Through this book, you will be able to pick up the code, understand in depth how it works, execute and implement it efficiently. This will be a desk reference to implement a wide range of tasks and solve the common and uncommon problems in ensemble machine learning domain.
Read more
Jan 2019 11h 12m
Machine Learning with scikit-learn Quick Start Guide
Machine Learning with scikit-learn Quick Start Guide
Read more
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 the important machine learning algorithms that scikit-learn provides.
Read more
Oct 2018 5h 44m
Machine Learning with scikit-learn Quick Start Guide
Machine Learning with scikit-learn Quick Start Guide
Read more
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 the important machine learning algorithms that scikit-learn provides.
Read more
Oct 2018 5h 44m
Machine Learning with scikit-learn Quick Start Guide
Machine Learning with scikit-learn Quick Start Guide
Read more
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 the important machine learning algorithms that scikit-learn provides.
Read more
Oct 2018 5h 44m
Machine Learning with scikit-learn Quick Start Guide
Machine Learning with scikit-learn Quick Start Guide
Read more
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 the important machine learning algorithms that scikit-learn provides.
Read more
Oct 2018 5h 44m
Machine Learning with scikit-learn Quick Start Guide
Machine Learning with scikit-learn Quick Start Guide
Read more
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 the important machine learning algorithms that scikit-learn provides.
Read more
Oct 2018 5h 44m
scikit-learn Cookbook
scikit-learn Cookbook
Read more
scikit-learn has evolved as a robust library for machine learning applications in python with support for a wide range of supervised and unsupervised learning algorithms. This edition brings to you the various enhancements to its model implementations, API and bug fixes in the latest major release of scikit-learn to support Python. This book covers easy to follow recipes right from mathematical operations to implementing various supervised, unsupervised and deep learning algorithms with scikit-learn. Get practical hands-on knowledge to implement various models and algorithms like Multi-Layer Perceptrons, time-series split, MAE criterion for regression, criteria for gradient boosting, Classifier, Regressor, and much more.
Read more
Nov 2017 12h 28m
scikit-learn Cookbook
scikit-learn Cookbook
Read more
scikit-learn has evolved as a robust library for machine learning applications in python with support for a wide range of supervised and unsupervised learning algorithms. This edition brings to you the various enhancements to its model implementations, API and bug fixes in the latest major release of scikit-learn to support Python. This book covers easy to follow recipes right from mathematical operations to implementing various supervised, unsupervised and deep learning algorithms with scikit-learn. Get practical hands-on knowledge to implement various models and algorithms like Multi-Layer Perceptrons, time-series split, MAE criterion for regression, criteria for gradient boosting, Classifier, Regressor, and much more.
Read more
Nov 2017 12h 28m
scikit-learn Cookbook
scikit-learn Cookbook
Read more
scikit-learn has evolved as a robust library for machine learning applications in python with support for a wide range of supervised and unsupervised learning algorithms. This edition brings to you the various enhancements to its model implementations, API and bug fixes in the latest major release of scikit-learn to support Python. This book covers easy to follow recipes right from mathematical operations to implementing various supervised, unsupervised and deep learning algorithms with scikit-learn. Get practical hands-on knowledge to implement various models and algorithms like Multi-Layer Perceptrons, time-series split, MAE criterion for regression, criteria for gradient boosting, Classifier, Regressor, and much more.
Read more
Nov 2017 12h 28m
Mastering Machine Learning with scikit-learn
Mastering Machine Learning with scikit-learn
Read more
This book examines machine learning models including k-nearest neighbors, logistic regression, naive Bayes, random forests, and support vector machines. You will work through document classification, image recognition, and other example problems.
Read more
Jul 2017 8h 28m
Mastering Machine Learning with scikit-learn
Mastering Machine Learning with scikit-learn
Read more
This book examines machine learning models including k-nearest neighbors, logistic regression, naive Bayes, random forests, and support vector machines. You will work through document classification, image recognition, and other example problems.
Read more
Jul 2017 8h 28m
Machine Learning for Healthcare Analytics Projects
Machine Learning for Healthcare Analytics Projects
Read more
Machine Learning in the healthcare domain is booming because of its abilities to provide accurate and stabilized techniques. This book is packed with new methodologies to create efficient solutions for healthcare analytics. We will build five end-to-end projects to evaluate the efficiency of AI apps to carry out simple-to-complex healthcare analytics tasks.
Read more
Oct 2018 4h 28m
Right arrow icon

Personalised recommendations for you

Based on your interests and search pattern
Left arrow icon
Modern Computer Vision with PyTorch
Modern Computer Vision with PyTorch
Read more
This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.
Read more
Jun 2024 24h 52m
Modern Computer Vision with PyTorch
Modern Computer Vision with PyTorch
Read more
This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.
Read more
Jun 2024 24h 52m
Modern Computer Vision with PyTorch
Modern Computer Vision with PyTorch
Read more
This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.
Read more
Jun 2024 24h 52m
Modern Computer Vision with PyTorch
Modern Computer Vision with PyTorch
Read more
This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.
Read more
Jun 2024 24h 52m
Modern Computer Vision with PyTorch
Modern Computer Vision with PyTorch
Read more
This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.
Read more
Jun 2024 24h 52m
Modern Computer Vision with PyTorch
Modern Computer Vision with PyTorch
Read more
This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.
Read more
Jun 2024 24h 52m
Modern Computer Vision with PyTorch
Modern Computer Vision with PyTorch
Read more
This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.
Read more
Jun 2024 24h 52m
Modern Computer Vision with PyTorch
Modern Computer Vision with PyTorch
Read more
This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.
Read more
Jun 2024 24h 52m
Modern Computer Vision with PyTorch
Modern Computer Vision with PyTorch
Read more
This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.
Read more
Jun 2024 24h 52m
Modern Computer Vision with PyTorch
Modern Computer Vision with PyTorch
Read more
This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.
Read more
Jun 2024 24h 52m
Modern Computer Vision with PyTorch
Modern Computer Vision with PyTorch
Read more
This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.
Read more
Jun 2024 24h 52m
Modern Computer Vision with PyTorch
Modern Computer Vision with PyTorch
Read more
This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.
Read more
Jun 2024 24h 52m
Right arrow icon