This is the Linux app named Python Machine Learning whose latest release can be downloaded as python-machine-learning-book-2nd-editionsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Python Machine Learning with OnWorks for free.
اتبع هذه التعليمات لتشغيل هذا التطبيق:
- 1. قم بتنزيل هذا التطبيق على جهاز الكمبيوتر الخاص بك.
- 2. أدخل في مدير الملفات الخاص بنا https://www.onworks.net/myfiles.php؟username=XXXXX باسم المستخدم الذي تريده.
- 3. تحميل هذا التطبيق في هذا الملف.
- 4. ابدأ تشغيل OnWorks Linux عبر الإنترنت أو محاكي Windows عبر الإنترنت أو محاكي MACOS عبر الإنترنت من هذا الموقع.
- 5. من نظام تشغيل OnWorks Linux الذي بدأته للتو ، انتقل إلى مدير الملفات الخاص بنا https://www.onworks.net/myfiles.php؟username=XXXXX مع اسم المستخدم الذي تريده.
- 6. قم بتنزيل التطبيق وتثبيته وتشغيله.
SCREENSHOTS
Ad
بيثون تعلم الآلة
الوصف
This repository accompanies the well-known textbook “Python Machine Learning, 2nd Edition” by Sebastian Raschka and Vahid Mirjalili, serving as a complete codebase of examples, notebooks, scripts and supporting materials for the book. It covers a wide range of topics including supervised learning, unsupervised learning, dimensionality reduction, model evaluation, deep learning with TensorFlow, and embedding models into web apps. Each chapter has Jupyter notebooks and Python scripts that replicate the examples in the book, allowing readers to run, inspect, and tweak code directly as they follow material. The structure also includes errata documentation and assets (images) that appear in the printed edition, providing a rich supplement to learning. The repository is suitable both for classroom use and for self-study, as well as being a go-to reference for data scientists revisiting techniques.
شرح المميزات:
- Full code repository of Jupyter notebooks and Python scripts aligned chapter-by-chapter
- Covers broad machine learning algorithm categories and real-world applications
- Examples include scikit-learn, TensorFlow, deep learning, model pipelines and evaluation
- Accompanying assets (images, datasets, errata) for full learning experience
- Suitable for classrooms, tutorials, or self-paced study by practitioners
- MIT-licensed and actively maintained so you can adapt or extend the examples
التصنيفات
This is an application that can also be fetched from https://sourceforge.net/projects/python-machine-learning.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
