Search icon CANCEL
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
Mastering Predictive Analytics with scikit-learn and TensorFlow

You're reading from   Mastering Predictive Analytics with scikit-learn and TensorFlow Implement machine learning techniques to build advanced predictive models using Python

Arrow left icon
Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789617740
Length 154 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Alvaro Fuentes Alvaro Fuentes
Author Profile Icon Alvaro Fuentes
Alvaro Fuentes
Arrow right icon
View More author details
Toc

Ensemble Methods for Regression and Classification

Advanced analytical tools are widely used by business enterprises in order to solve problems using data. The goal of analytical tools is to analyze data and extract relevant information that can be used to solve problems or increase performance of some aspect of the business. It also involves various machine learning algorithms with which we can create predictive models for better results.

In this chapter, we are going to explore a simple idea that can drastically improve the performance of basic predictive models.

We are going to cover the following topics in this chapter:

  • Ensemble methods and their working
  • Ensemble methods for regression
  • Ensemble methods for classification
You have been reading a chapter from
Mastering Predictive Analytics with scikit-learn and TensorFlow
Published in: Sep 2018
Publisher: Packt
ISBN-13: 9781789617740
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 €18.99/month. Cancel anytime