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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

Naive Bayes classifiers

Naive Bayes classifiers is a family of classifiers based on the famous Bayes theorem. This section will take us a bit off topic (which is why I am including it at the end), but it is worth having this family of models in your predictive analytics toolbox. We will briefly review some important probability concepts and will discuss the intuition behind this classifier; then we will use it in our problem.

Conditional probability

This section is by no means a mathematically rigorous discussion of probability concepts: we will focus on the intuition and will make some calculations to make the concepts more concrete.

In this section, we will use the same dataset we have been using and assume that we can accurately...

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