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

Product typeBook
Published inDec 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781789138719
Edition1st Edition
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Author (1)
Alvaro Fuentes
Alvaro Fuentes
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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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Summary

In this chapter, we have covered two stages in the predictive analytics process: Problem understanding and definition and Data collection and preparation. We learned about important considerations for understanding the problem and proposing the solution; we also introduced the concepts of regression tasks and classification tasks. We got our hands dirty with a couple of datasets that we will continue within the following chapters, and in going through the second phase, Data collection and preparation, with these datasets, we introduce important concepts such as one-hot encoding, outliers, missing values, collinearity, and feature engineering. In addition, we got to practice how to use pandas for loading, exploring, transforming, and preparing a dataset to continue with the next stages of the predictive analytics process.

In the next chapter, we will study the goals of...

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Hands-On Predictive Analytics with Python
Published in: Dec 2018Publisher: PacktISBN-13: 9781789138719

Author (1)

author image
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.
Read more about Alvaro Fuentes