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This repository contains Julia code for a selection of tables, figures and LAB sections from the book 'An Introduction to Statistical Learning with Applications in R' by James, Witten, Hastie, Tibshirani (2013).
Julia 0.01%
Jupyter Notebook 99.99%
islr-julia's Issues
Steps to follow-
Add the codes of section 5.3.4 in the labs of Chapter 5 of book in the notebook
Use the relevant packages which are already imported. You can also import any new package you find relevant to the task
Steps to follow-
Add the codes of section 4.7.2 , 4.7.3 and 4.7.4 in the book in the notebook in Julia
Use the relevant packages imported and do not use the sklearn package in Julia
Steps to follow-
Add the code of section 2.3.3 , 2.3.4 , 2.3.5 from the book (pg 47-52) in Chapter 2.ipynb
You can use DataFrames.jl package for loading the dataset file
Use plotly.jl to plot the relevant plots in 2.3.5
Steps to be followed-
Use the relevant packages to make quiver plots function in the plots.jl file
Take a random data and plot a quiver plot
Steps to follow-
Add the codes of 3.6.2 ,3.6.3 ,3.6.4 sections in the labs of Chapter 3 of book in the notebook
Use the relevant packages which are already imported. You can also import any new package you find relevant to the task