Ensemble Learning Algorithms With Python

Download Ensemble Learning Algorithms With Python full books in PDF, epub, and Kindle. Read online free Ensemble Learning Algorithms With Python ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Hands-On Ensemble Learning with Python

Hands-On Ensemble Learning with Python
Author :
Publisher : Packt Publishing Ltd
Total Pages : 284
Release :
ISBN-10 : 9781789617887
ISBN-13 : 178961788X
Rating : 4/5 (88X Downloads)

Book Synopsis Hands-On Ensemble Learning with Python by : George Kyriakides

Download or read book Hands-On Ensemble Learning with Python written by George Kyriakides and published by Packt Publishing Ltd. This book was released on 2019-07-19 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combine popular machine learning techniques to create ensemble models using Python Key FeaturesImplement ensemble models using algorithms such as random forests and AdaBoostApply boosting, bagging, and stacking ensemble methods to improve the prediction accuracy of your model Explore real-world data sets and practical examples coded in scikit-learn and KerasBook Description Ensembling is a technique of combining two or more similar or dissimilar machine learning algorithms to create a model that delivers superior predictive power. This book will demonstrate how you can use a variety of weak algorithms to make a strong predictive model. With its hands-on approach, you'll not only get up to speed on the basic theory but also the application of various ensemble learning techniques. Using examples and real-world datasets, you'll be able to produce better machine learning models to solve supervised learning problems such as classification and regression. Furthermore, you'll go on to leverage ensemble learning techniques such as clustering to produce unsupervised machine learning models. As you progress, the chapters will cover different machine learning algorithms that are widely used in the practical world to make predictions and classifications. You'll even get to grips with the use of Python libraries such as scikit-learn and Keras for implementing different ensemble models. By the end of this book, you will be well-versed in ensemble learning, and have the skills you need to understand which ensemble method is required for which problem, and successfully implement them in real-world scenarios. What you will learnImplement ensemble methods to generate models with high accuracyOvercome challenges such as bias and varianceExplore machine learning algorithms to evaluate model performanceUnderstand how to construct, evaluate, and apply ensemble modelsAnalyze tweets in real time using Twitter's streaming APIUse Keras to build an ensemble of neural networks for the MovieLens datasetWho this book is for This book is for data analysts, data scientists, machine learning engineers and other professionals who are looking to generate advanced models using ensemble techniques. An understanding of Python code and basic knowledge of statistics is required to make the most out of this book.


Hands-On Ensemble Learning with Python Related Books

Hands-On Ensemble Learning with Python
Language: en
Pages: 284
Authors: George Kyriakides
Categories: Computers
Type: BOOK - Published: 2019-07-19 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Combine popular machine learning techniques to create ensemble models using Python Key FeaturesImplement ensemble models using algorithms such as random forests
Ensemble Learning Algorithms With Python
Language: en
Pages: 450
Authors: Jason Brownlee
Categories: Computers
Type: BOOK - Published: 2021-04-26 - Publisher: Machine Learning Mastery

DOWNLOAD EBOOK

Predictive performance is the most important concern on many classification and regression problems. Ensemble learning algorithms combine the predictions from m
Pro Machine Learning Algorithms
Language: en
Pages: 379
Authors: V Kishore Ayyadevara
Categories: Computers
Type: BOOK - Published: 2018-06-30 - Publisher: Apress

DOWNLOAD EBOOK

Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you t
Ensemble Methods for Machine Learning
Language: en
Pages: 350
Authors: Gautam Kunapuli
Categories: Computers
Type: BOOK - Published: 2023-05-30 - Publisher: Simon and Schuster

DOWNLOAD EBOOK

Ensemble machine learning combines the power of multiple machine learning approaches, working together to deliver models that are highly performant and highly a
Ensemble Machine Learning Cookbook
Language: en
Pages: 327
Authors: Dipayan Sarkar
Categories: Computers
Type: BOOK - Published: 2019-01-31 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Implement machine learning algorithms to build ensemble models using Keras, H2O, Scikit-Learn, Pandas and more Key FeaturesApply popular machine learning algori