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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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Summary

While this chapter was rather long, you have entered the world of tree based algorithms, and left with a wide arsenal of tools that you can implement in order to solve both small- and large-scale problems. To summarize, you have learned the following:

  • How to use decision trees for classification and regression
  • How to use random forests for classification and regression
  • How to use AdaBoost for classification
  • How to use gradient boosted trees for regression
  • How the voting classifier can be used to build a single model out of different models

In the upcoming chapter, you will learn how you can work with data that does not have a target variable or labels, and how to perform unsupervised machine learning in order to solve such problems!

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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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