You're reading from Hands-On Predictive Analytics with Python

Product typeBook

Published inDec 2018

Reading LevelIntermediate

PublisherPackt

ISBN-139781789138719

Edition1st Edition

Languages

Python

Tools

TensorFlow

Concepts

Predictive Analytics

Author (1)

Alvaro Fuentes

Summary

In this chapter, we have established the conceptual foundations upon which we will build our understanding and practice of predictive analytics. We defined predictive analytics as an applied field that uses a variety of quantitative methods that make use of data in order to make predictions. We also discussed at a high level each of the stages in the predictive analytics process. In addition, we presented the main tools of Python's data science stack that we will use during the book. We will learn more about these libraries as we use them for doing predictive analytics.

Keep in mind that this will be the only conceptual chapter in the book; from the following chapter, everything will be hands-on, as promised in the title!

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Hands-On Predictive Analytics with Python

Published in: Dec 2018Publisher: PacktISBN-13: 9781789138719

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Author (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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