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Machine Learning with Scala Quick Start Guide

You're reading from   Machine Learning with Scala Quick Start Guide Leverage popular machine learning algorithms and techniques and implement them in Scala

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781789345070
Length 220 pages
Edition 1st Edition
Languages
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Authors (2):
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Md. Rezaul Karim Md. Rezaul Karim
Author Profile Icon Md. Rezaul Karim
Md. Rezaul Karim
Ajay Kumar N Ajay Kumar N
Author Profile Icon Ajay Kumar N
Ajay Kumar N
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Toc

Table of Contents (9) Chapters Close

Preface 1. Introduction to Machine Learning with Scala 2. Scala for Regression Analysis FREE CHAPTER 3. Scala for Learning Classification 4. Scala for Tree-Based Ensemble Techniques 5. Scala for Dimensionality Reduction and Clustering 6. Scala for Recommender System 7. Introduction to Deep Learning with Scala 8. Other Books You May Enjoy

Summary

In this chapter, we have learned about different classical classification algorithms, such as LR, SVM, and NB. Using these algorithms, we predicted whether a customer is likely to cancel their telecommunications subscription or not. We've also discussed what types of data are required to build a successful churn predictive model.

Tree-based and tree ensemble classifiers are really useful and robust, and are widely used for solving both classification and regression tasks. In the next chapter, we will look into developing such classifiers and regressors using tree-based and ensemble techniques such as DT, RF, and GBT, for both classification and regression.

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