A Tour of Machine Learning Classifiers Using Scikit-Learn

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Bibliographic Details
Published inPython Machine Learning p. 1
Main Authors Mirjalili, Vahid, Raschka, Sebastian
Format Book Chapter
LanguageEnglish
Published United Kingdom Packt Publishing 2019
Packt Publishing, Limited
Edition3rd Edition
Subjects
General Engineering & Project Administration
General References
Software Engineering
Online AccessGet full text
ISBN9781789955750
1789955750

Cover

Table of Contents:
  • 3.1 Choosing a Classification Algorithm 3.2 First Steps with Scikit-Learn - Training a Perceptron 3.3 Modeling Class Probabilities via Logistic Regression 3.4 Maximum Margin Classification with Support Vector Machines 3.5 Solving Nonlinear Problems Using a Kernel SVM 3.6 Decision Tree Learning 3.7 K-Nearest Neighbors - A Lazy Learning Algorithm 3.8 Summary