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You're reading from  Machine Learning with scikit-learn Quick Start Guide

Product typeBook
Published inOct 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781789343700
Edition1st Edition
Languages
Python
Tools
Scikit-learn
Concepts
Machine Learning
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Author (1)
Kevin Jolly
Kevin Jolly
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Kevin Jolly

Kevin Jolly is a formally educated data scientist with a master's degree in data science from the prestigious King's College London. Kevin works as a statistical analyst with a digital healthcare start-up, Connido Limited, in London, where he is primarily involved in leading the data science projects that the company undertakes. He has built machine learning pipelines for small and big data, with a focus on scaling such pipelines into production for the products that the company has built. Kevin is also the author of a book titled Hands-On Data Visualization with Bokeh, published by Packt. He is the editor-in-chief of Linear, a weekly online publication on data science software and products.
Read more about Kevin Jolly

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Regression trees

You have learned how trees are used in order to classify a prediction as belonging to a particular class or category. However, trees can also be used to solve problems related to predicting numeric outcomes. In this section, you will learn about the three types of tree based algorithms that you can implement in scikit-learn in order to predict numeric outcomes, instead of classes:

  • The decision tree regressor
  • The random forest regressor
  • The gradient boosted tree

The decision tree regressor

When we have data that is non-linear in nature, a linear regression model might not be the best model to choose. In such situations, it makes sense to choose a model that can fully capture the non-linearity of such data...

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Machine Learning with scikit-learn Quick Start Guide
Published in: Oct 2018Publisher: PacktISBN-13: 9781789343700
© 2018 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Kevin Jolly

Kevin Jolly is a formally educated data scientist with a master's degree in data science from the prestigious King's College London. Kevin works as a statistical analyst with a digital healthcare start-up, Connido Limited, in London, where he is primarily involved in leading the data science projects that the company undertakes. He has built machine learning pipelines for small and big data, with a focus on scaling such pipelines into production for the products that the company has built. Kevin is also the author of a book titled Hands-On Data Visualization with Bokeh, published by Packt. He is the editor-in-chief of Linear, a weekly online publication on data science software and products.
Read more about Kevin Jolly

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