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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
Languages
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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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Toc

Working with Features

In this chapter, we are going to take a close look at how features play an important role in the feature engineering technique. We'll learn some techniques that will allow us to improve our predictive analytics models in two ways: in terms of the performance metrics of our models and to understand the relationship between the features and the target variables that we are trying to predict.

In this chapter, we are going to cover the following topics:

  • Feature selection methods
  • Dimensionality reduction and PCA
  • Creating new features
  • Improving models with feature engineering
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