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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

Implementing a predictive model as a web application

Now we know the basics of building an interactive web application with Dash, we are ready to build an application to deploy our model so it can be used to make predictions. This will be a very simple and basic prototype, but, as we said before, building an enterprise-level application will take a team of engineers many weeks.

Even though this application will be very simple, I have delivered similar minimal applications to my clients in my consulting practice (doing it with either Python's Dash or R's Shiny), and they have found it very useful, so these applications can actually be used in real-world projects.

Producing the predictive model objects

Let&apos...

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