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You're reading from  Essential PySpark for Scalable Data Analytics

Product typeBook
Published inOct 2021
Reading LevelBeginner
PublisherPackt
ISBN-139781800568877
Edition1st Edition
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Sreeram Nudurupati
Sreeram Nudurupati
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Sreeram Nudurupati

Sreeram Nudurupati is a data analytics professional with years of experience in designing and optimizing data analytics pipelines at scale. He has a history of helping enterprises, as well as digital natives, build optimized analytics pipelines by using the knowledge of the organization, infrastructure environment, and current technologies.
Read more about Sreeram Nudurupati

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Real-world supervised learning applications

In the past, data science and machine learning were used exclusively for academic research purposes. However, over the past decade, this field has found its use in actual business applications to help businesses find their competitive edge, improve overall business performance, and become profitable. In this section, we will look at some real-world applications of machine learning.

Regression applications

Some of the applications of machine learning regression models and how they help improve business performance will be presented in this section.

Customer lifetime value estimation

In any retail or CPG kind of business where customer churn is a huge factor, it is necessary to direct marketing spend at those customers who are profitable. In non-subscription kinds of businesses, typically 20% of the customer base generates up to 80% of revenue. Machine learning models can be leveraged to model and predict each customer's lifetime...

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Essential PySpark for Scalable Data Analytics
Published in: Oct 2021Publisher: PacktISBN-13: 9781800568877

Author (1)

author image
Sreeram Nudurupati

Sreeram Nudurupati is a data analytics professional with years of experience in designing and optimizing data analytics pipelines at scale. He has a history of helping enterprises, as well as digital natives, build optimized analytics pipelines by using the knowledge of the organization, infrastructure environment, and current technologies.
Read more about Sreeram Nudurupati