All Projects → tndoan → ISLR.jl

tndoan / ISLR.jl

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JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"

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Jupyter Notebook
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Introduction to Statistical Learning with Julia

Introduction

An Introduction to Statistical Learning: With Applications in R is a great book to learn data science. The associated code is R which is a nice programming language for statisticians. However, R is not fast and in my opinion, it does not have nice syntax. There is a project named ISLR-python which ports the book to Python. I was inspired by the Python project and try to implement the introduced materials of this book in Julialang. Julia is a new language which is faster and more friendly to scientific computing than Python. Hopefully, this code is helpful for Julia lovers when they read the book.

Library

In this project, I use Julia v1.5.1 and the following library

Note

I write a blog post to summarize the lessons that I learn after doing this project.

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