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StatsWithJuliaBook is the companion code repository for the book Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence. It contains over 200 code blocks that correspond to the book’s ten chapters and three appendices, covering topics from probability theory and data summarization to regression analysis, hypothesis testing, and machine learning basics. The repository is designed for Julia users and provides ready-to-run examples that reinforce theoretical concepts with practical implementation. Readers can explore how Julia supports statistical modeling, simulation, and computational methods in data science workflows. The included initialization script simplifies package setup, ensuring that learners can focus on running and modifying the code examples. This project bridges the gap between textbook learning and hands-on coding, making it a valuable educational tool for students, researchers, and practitioners.
Features
- Contains 200+ code blocks from Statistics with Julia
- Covers probability, distributions, inference, and regression
- Includes machine learning basics and dynamic model simulations
- Appendices with additional Julia language features and packages
- Compatible with Julia 1.4+ and Pluto notebooks
- Easy setup with provided initialization scripts
Project Samples
