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You're reading from  Data Science for Marketing Analytics - Second Edition

Product typeBook
Published inSep 2021
Reading LevelIntermediate
PublisherPackt
ISBN-139781800560475
Edition2nd Edition
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Authors (3):
Mirza Rahim Baig
Mirza Rahim Baig
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Mirza Rahim Baig

Mirza Rahim Baig is a Data Science and Artificial Intelligence leader with over 13 years of experience across e-commerce, healthcare, and marketing. He currently holds the position of leading Product Analytics at Marketing Services for Zalando, Europe's largest online fashion platform. In addition, he serves as a Subject Matter Expert and faculty member for MS level programs at prominent Ed-Tech platforms and institutes in India. He is also the lead author of two books, 'Data Science for Marketing Analytics' and 'The Deep Learning Workshop,' both published by Packt. He is recognized as a thought leader in my field and frequently participates as a guest speaker at various forums.
Read more about Mirza Rahim Baig

Gururajan Govindan
Gururajan Govindan
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Gururajan Govindan

Gururajan Govindan is a data scientist, intrapreneur, and trainer with more than seven years of experience working across domains such as finance and insurance. He is also an author of The Data Analysis Workshop, a book focusing on data analytics. He is well known for his expertise in data-driven decision-making and machine learning with Python.
Read more about Gururajan Govindan

Vishwesh Ravi Shrimali
Vishwesh Ravi Shrimali
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Vishwesh Ravi Shrimali

Vishwesh Ravi Shrimali graduated from BITS Pilani, where he studied mechanical engineering, in 2018. He also completed his Masters in Machine Learning and AI from LJMU in 2021. He has authored - Machine learning for OpenCV (2nd edition), Computer Vision Workshop and Data Science for Marketing Analytics (2nd edition) by Packt. When he is not writing blogs or working on projects, he likes to go on long walks or play his acoustic guitar.
Read more about Vishwesh Ravi Shrimali

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Tree-Based Regression Models

In the preceding activity, you were able to identify the three most important features that could be used to predict customer spend. Now, imagine doing the same by removing each feature one at a time and finding out the RMSE. RFE aims to remove the redundant task of going over each feature by doing it internally, without forcing the user to put in the effort to do it manually.

So far, we have covered linear regression models. Now it's time to take it up a notch by discussing some tree-based regression models.

Linear models are not the only type of regression models. Another powerful technique is the use of regression trees. Regression trees are based on the idea of a decision tree. A decision tree is a bit like a flowchart, where, at each step, you ask whether a variable is greater than or less than some value. After flowing through several of these steps, you reach the end of the tree and receive an answer for what value the prediction should be...

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Data Science for Marketing Analytics - Second Edition
Published in: Sep 2021Publisher: PacktISBN-13: 9781800560475

Authors (3)

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Mirza Rahim Baig

Mirza Rahim Baig is a Data Science and Artificial Intelligence leader with over 13 years of experience across e-commerce, healthcare, and marketing. He currently holds the position of leading Product Analytics at Marketing Services for Zalando, Europe's largest online fashion platform. In addition, he serves as a Subject Matter Expert and faculty member for MS level programs at prominent Ed-Tech platforms and institutes in India. He is also the lead author of two books, 'Data Science for Marketing Analytics' and 'The Deep Learning Workshop,' both published by Packt. He is recognized as a thought leader in my field and frequently participates as a guest speaker at various forums.
Read more about Mirza Rahim Baig

author image
Gururajan Govindan

Gururajan Govindan is a data scientist, intrapreneur, and trainer with more than seven years of experience working across domains such as finance and insurance. He is also an author of The Data Analysis Workshop, a book focusing on data analytics. He is well known for his expertise in data-driven decision-making and machine learning with Python.
Read more about Gururajan Govindan

author image
Vishwesh Ravi Shrimali

Vishwesh Ravi Shrimali graduated from BITS Pilani, where he studied mechanical engineering, in 2018. He also completed his Masters in Machine Learning and AI from LJMU in 2021. He has authored - Machine learning for OpenCV (2nd edition), Computer Vision Workshop and Data Science for Marketing Analytics (2nd edition) by Packt. When he is not writing blogs or working on projects, he likes to go on long walks or play his acoustic guitar.
Read more about Vishwesh Ravi Shrimali