https://github.com/h-Klok/StatsWithJuliaBook

https://github.com/h-Klok/StatsWithJuliaBook

julia julia-language machine-learning statistics

Last synced: about 2 months ago
JSON representation

• Host: GitHub
• URL: https://github.com/h-Klok/StatsWithJuliaBook
• Owner: h-Klok
• License: mit
• Created: 2018-01-17T14:44:25.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2023-03-27T02:18:41.000Z (over 1 year ago)
• Last Synced: 2024-10-16T00:22:45.014Z (2 months ago)
• Topics: julia, julia-language, machine-learning, statistics
• Language: Julia
• Homepage: https://statisticswithjulia.org/
• Size: 8.44 MB
• Stars: 1,078
• Watchers: 65
• Forks: 279
• Open Issues: 16
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-julia - Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence

README

        
# Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence

This repository is a collection of all 200+ code blocks contained in the book. See the [Book's website](https://statisticswithjulia.org/index.html), or go directly to Springer:

[![bookCoverImage](https://statisticswithjulia.org/img/book1Cover.png)](https://www.springer.com/gp/book/9783030709006)

## The book is comprised of the following ten chapters and three appendices:

1. Introducing Julia

2. Basic Probability

3. Probability Distributions

4. Processing and Summarizing Data

5. Statistical Inference Concepts

6. Confidence Intervals

7. Hypothesis Testing

8. Linear Regression and Extensions

9. Machine Learning Basics

10. Simulation of Dynamic Models



	
 How-to in Julia

	
Additional Language Features

	
Additional Packages



## Usage instructions:

1. Clone or download this repository or a fork of it.

1. Have Julia 1.4 or above installed.

1. Run init.jl to install and precompile the required packages.

1. Run individual code examples.

---

An alternative is to use Pluto. See [StatisticsWithJuliaPlutoNotebooks.jl](https://github.com/StatisticalRethinkingJulia/StatisticsWithJuliaPlutoNotebooks.jl)

We hope you find this an enjoyable and instructive resource.

H.Klok

Y.Nazarathy