You're reading from Hands-On Predictive Analytics with Python Master the complete predictive analytics process, from problem definition to model deployment

Product type Paperback

Published in Dec 2018

Publisher Packt

ISBN-13 9781789138719

Length 330 pages

Edition 1st Edition

Languages

Python

Tools

TensorFlow

Concepts

Predictive Analytics

Author (1):

Alvaro Fuentes

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Table of Contents (11) Chapters

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

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Knaflic, C N (2015). Storytelling with data: A data visualization guide for business professionals by John Wiley & Sons, Inc.
Provost, F, & Fawcett, T (2013). Data Science for Business: What you need to know about data mining and data-analytic thinking by O'Reilly Media.
Siegel, E. (2013). Predictive analytics: The power to predict who will click, buy, lie, or die, by John Wiley and Sons, Inc.

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Authors (1)

Alvaro Fuentes

Alvaro Fuentes is a senior data scientist with a background in applied mathematics and economics. He has more than 14 years of experience in various analytical roles and is an analytics consultant at one of the ‘Big Three' global management consulting firms, leading advanced analytics projects in different industries like banking, technology, and consumer goods. Alvaro is also an author and trainer in analytics and data science and has published courses and books, such as 'Become a Python Data Analyst' and 'Hands-On Predictive Analytics with Python'. He has also taught data science and related topics to thousands of students both on-site and online through different platforms such as Springboard, Simplilearn, Udemy, and BSG Institute, among others.

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