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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

Technical requirements

Although this is mostly a conceptual chapter, you need at least the following software to follow the code snippets:

  • Python 3.6 or higher
  • Jupyter Notebook
  • Recent versions of the following Python libraries: NumPy and matplotlib

I strongly recommend that you install Anaconda Distribution (go to https://www.anaconda.com/) so you have most of the software we will use in the rest of the book. If you are not familiar with Anaconda, we will talk about it later in the chapter, so please keep reading.

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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