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All Projects → h-Klok → Statswithjuliabook

h-Klok / Statswithjuliabook

Licence: mit

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julia
2034 projects

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machine-learningstatistics

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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 Draft version of the book.

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
  1. How-to in Julia
  2. Additional Language Features
  3. Additional Packages

Usage instructions:

  1. Clone or download this repository or a fork of it.
  2. Have Julia 1.4 or above installed.
  3. Run init.jl to install and precompile the required packages.
  4. Run individual code examples.

An alternative is to use Pluto. See StatisticsWithJuliaPlutoNotebooks.jl

We hope you find this an enjoyable and instructive resource.

H.Klok Y.Nazarathy

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].