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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

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789617740
Length 154 pages
Edition 1st Edition
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Author (1):
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Alvaro Fuentes Alvaro Fuentes
Author Profile Icon Alvaro Fuentes
Alvaro Fuentes
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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
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Mastering Predictive Analytics with scikit-learn and TensorFlow
Published in: Sep 2018
Publisher: Packt
ISBN-13: 9781789617740
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