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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

Introducing Dash

In this section, we will provide a brief, hands-on introduction to the Dash library by building a couple of simple applications. This will, of course, be an incomplete introduction, as we will be learning just enough to be able to show how we can produce a prototype of an application that can serve the predictions of one of the models we have created.

What is Dash?

This is the last library we will talk about in this book. Dash is a Python framework for building web applications quickly and easily, without knowing JavaScript, CSS, HTML, server-side programming, or related technologies that belong to the web development world. Let's look at some of its features:

  • Framework for building data visualization...
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