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Julia 1.0 Programming Cookbook

You're reading from  Julia 1.0 Programming Cookbook

Product type Book
Published in Nov 2018
Publisher Packt
ISBN-13 9781788998369
Pages 460 pages
Edition 1st Edition
Languages
Authors (2):
Bogumił Kamiński Bogumił Kamiński
Profile icon Bogumił Kamiński
Przemysław Szufel Przemysław Szufel
Profile icon Przemysław Szufel
View More author details
Toc

Table of Contents (18) Chapters close

Title Page
Copyright and Credits
Dedication
About Packt
Contributors
Preface
1. Installing and Setting Up Julia 2. Data Structures and Algorithms 3. Data Engineering in Julia 4. Numerical Computing with Julia 5. Variables, Types, and Functions 6. Metaprogramming and Advanced Typing 7. Handling Analytical Data 8. Julia Workflow 9. Data Science 10. Distributed Computing 1. Other Books You May Enjoy Index

Building machine learning models with ScikitLearn.jl


In this recipe, we show how to use Julia to create machine learning models. We will illustrate this with theScikitLearn.jlpackage. Although our recipe focuses on how to create machine learning models in Julia, we do not focus on the business applications of machine learning. This recipe was inspired by the book Python Machine Learning - Second Edition by S. Raschka and V. Mirjalili.

Note that the ScikitLearn.jl package is not present in the package table of the Preface which is at the beginning of this book nor in the package installation scripts. We took this approach because on one hand ScikitLearn.jl is being developed continuously to map Python code to its Julia equivalent and on the other hand since the goal of this package is to mirror the Anaconda scikit-learn API we expect the ScikitLearn.jl API to be stable over time. Finally, at the moment, ScikitLearn.jl depends on the Anaconda scikit-learn package to be present in the Python...

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