From d7e8db55bd96ed17f1d5d3ed18de3c65eee6b383 Mon Sep 17 00:00:00 2001 From: tndoan Date: Sun, 13 Dec 2020 20:32:34 -0500 Subject: [PATCH] update Readme --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 0581cd2..2a96ae0 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ -# ISL +# Introduction to Statistical Learning with Julia ## Introduction -[An Introduction to Statistical Learning: With Applications in R](http://faculty.marshall.usc.edu/gareth-james/ISL/) is a great book to learn data science. However, the associated code is [R](https://www.r-project.org/about.html) which is a nice programming language for statisticians. There is a project named [ISLR-python](https://github.com/JWarmenhoven/ISLR-python) which ports the book to Python. I was inspired by the Python project and try to implement the introduced materials in this book to [Julialang](https://julialang.org/). Julia is a new language which is faster than C and more friendly to scientific computing than Python. +[An Introduction to Statistical Learning: With Applications in R](http://faculty.marshall.usc.edu/gareth-james/ISL/) is a great book to learn data science. The associated code is [R](https://www.r-project.org/about.html) 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](https://github.com/JWarmenhoven/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](https://julialang.org/). Julia is a new language which is faster than C and more friendly to scientific computing than Python. Hopefully, this code is helpful for Julia lovers when they read the book. ## Library