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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

Introduction to ML

Machine learning is a term that has seen an explosion in popularity, and that is mainly because it works. It has produced very good results when applied to many scientific and industrial problems, and is present, in one form or another, in many technological products and services people use daily. If you interact with the internet, use apps on your smartphone, check your email, or do any telecommunications or banking transactions, then you have definitely interacted with an ML model. This is not a book about ML; we will focus on giving the very basic concepts necessary to use ML as a tool for doing predictive analytics, we won't delve deeper into this exciting field, and there will be many important things that we will leave out. However, because of the huge rise in interest in the subject, there are many excellent resources covering everything from deeply...

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