{"id":27595694,"url":"https://github.com/tymill/ml-julia-course","last_synced_at":"2025-04-22T12:16:52.149Z","repository":{"id":284711240,"uuid":"955816835","full_name":"TyMill/ml-julia-course","owner":"TyMill","description":"This open educational course introduces students and professionals to the fundamentals of data analysis and machine learning using the Julia programming language. 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Zainstaluj Julię: [https://julialang.org/downloads](https://julialang.org/downloads)\n2. W konsoli Julia:\n\n```julia\nusing Pkg\nPkg.activate(\".\")\nPkg.instantiate()\n```\n\n3. Uruchom notatnik:\n\n- Jupyter: `jupyter notebook`\n- Pluto:  \n```julia\nusing Pluto\nPluto.run()\n```\n\n---\n\n## 🎯 Cele kursu\n\n- Poznanie języka Julia w kontekście analizy danych\n- Zbudowanie praktycznych modeli ML (regresja, klasyfikacja, klasteryzacja)\n- Nauka redukcji wymiarowości i interpretacji modeli\n- Porównanie modeli i automatyzacja uczenia maszynowego\n\n---\n\n## 🔗 Powiązane projekty\n\n- [SynthPred.jl](https://github.com/TyMill/SynthPred) – narzędzie do predykcji z użyciem danych syntetycznych\n\n---\n\n## 📚 Dla kogo?\n\n- Studenci kierunków technicznych\n- Analitycy danych chcący poznać Julię\n- Nauczyciele i dydaktycy poszukujący materiałów dydaktycznych\n- Każdy, kto chce zrozumieć ML przez praktykę\n\n---\n\n## 📜 Licencja\n\nMIT\n\n---\n\n**Autor**: Tymoteusz Miller  \n📍 Uniwersytet Szczeciński\n📫 [LinkedIn](https://www.linkedin.com/in/tymoteuszmiller) | [Zenodo Profile](https://zenodo.org/search?page=1\u0026size=20\u0026q=TyMill)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftymill%2Fml-julia-course","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftymill%2Fml-julia-course","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftymill%2Fml-julia-course/lists"}