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Hands-On Predictive Analytics with Python

You're reading from   Hands-On Predictive Analytics with Python Master the complete predictive analytics process, from problem definition to model deployment

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Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781789138719
Length 330 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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Table of Contents (11) Chapters Close

Preface 1. The Predictive Analytics Process FREE CHAPTER 2. Problem Understanding and Data Preparation 3. Dataset Understanding – Exploratory Data Analysis 4. Predicting Numerical Values with Machine Learning 5. Predicting Categories with Machine Learning 6. Introducing Neural Nets for Predictive Analytics 7. Model Evaluation 8. Model Tuning and Improving Performance 9. Implementing a Model with Dash 10. Other Books You May Enjoy

The Predictive Analytics Process

This will be the only conceptual chapter of the book; you may want to start coding and building predictive models from the start, but trust me, we need a common understanding of the fundamental concepts that we will use in the rest of the book. First, we will discuss in detail what predictive analytics is, then we will define some of the most important concepts of this exciting field. With those concepts as a foundation, we will go on to provide a quick overview of the stages in the predictive analytics process, and finally briefly talk about them, as we will devote entire chapters to each of them in the rest of the book.

The following topics will be covered in this chapter:

  • What is predictive analytics?
  • A review of important concepts of predictive analytics
  • The predictive analytics process
  • A quick tour of Python's data science stack
You have been reading a chapter from
Hands-On Predictive Analytics with Python
Published in: Dec 2018
Publisher: Packt
ISBN-13: 9781789138719
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