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README.md

ISL

Introduction

An Introduction to Statistical Learning: With Applications in R is a great book to learn data science. However, the associated code is R which is a nice programming language for statisticians. 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 in this book to Julialang. Julia is a new language which is faster than C and more friendly to scientific computing than Python.

Library

In this project, I use Julia v1.5.1 and the following library - Plots.jl for visualization - CSV.jl for reading csv file - Clustering.jl for clustering algorithms - LIBSVM.jl for LibSVM implementation - StatsPlots.jl for plotting statistic - DataFrames.jl for data frame - GLM.jl for generalized linear model - Distributions.jl for stat distributions

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