Ml Coursera Python Assignments

هذا المشروع عبارة عن مستودع دورات تعلم آلي يحتوي على مجموعة من تمارين Python ودفاتر الملاحظات. صُمم لتنفيذ خوارزميات التعلم الآلي الأساسية وإكمال مهام المنهج من خلال مستندات تفاعلية تجمع بين النص التعليمي والكود القابل للتنفيذ.

يوفر المستودع كودًا منسقًا للتوافق مع أنظمة التصحيح المؤتمتة، مما يسمح بتقديم والتحقق من التمارين التقنية. يتضمن تكوينات بيئة محددة مسبقًا وأقفال تبعية لضمان تنفيذ متسق لأدوات علوم البيانات عبر بيئات حوسبة مختلفة.

يغطي المشروع تنفيذ التعلم الآلي والتعليم، باستخدام سير عمل دفتر ملاحظات تفاعلي لترجمة المفاهيم الرياضية إلى كود وظيفي. صُممت هذه التمارين للتشغيل داخل مساحات عمل قائمة على المتصفح لإزالة الحاجة إلى تثبيت برامج محلية.

Features

Machine Learning Education - Provides comprehensive materials for teaching fundamental machine learning concepts and implementation techniques.
Machine Learning Foundations - Serves as a collection of exercises and notebooks focusing on the mathematical and theoretical foundations of machine learning.
Machine Learning Implementations - Implements foundational machine learning algorithms using Python to bridge mathematical theory and functional code.
Data Science Notebooks - Implements a step-by-step machine learning learning workflow using interactive notebooks that combine instructional text and executable code.
Interactive Notebook Environments - Utilizes an interactive notebook workflow to combine instruction and code for data science experiments.
Interactive Notebook Learning Resources - Integrates instructional text and live code cells within notebooks to facilitate a step-by-step learning workflow.
Educational Implementations - Translates mathematical machine learning concepts into executable Python code for educational purposes.
Online Development Environments - Provides an online development environment for executing programming exercises without local setup.
Browser-Based Execution Environments - Enables the execution of programming exercises directly within a web browser to avoid local installation.
Browser-Based Runtimes - Executes code within a hosted online environment to remove the need for local software installation.

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dibgergeml-coursera-python-assignments

Name: dibgerge/ml-coursera-python-assignments
Author: dibgerge

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5,567 نجوم2,149 تفرعاتJupyter Notebook5 مشاهدات

Ml Coursera Python Assignments

Features

Machine Learning Education - Provides comprehensive materials for teaching fundamental machine learning concepts and implementation techniques.
Machine Learning Foundations - Serves as a collection of exercises and notebooks focusing on the mathematical and theoretical foundations of machine learning.
Machine Learning Implementations - Implements foundational machine learning algorithms using Python to bridge mathematical theory and functional code.
Data Science Notebooks - Implements a step-by-step machine learning learning workflow using interactive notebooks that combine instructional text and executable code.
Interactive Notebook Environments - Utilizes an interactive notebook workflow to combine instruction and code for data science experiments.
Interactive Notebook Learning Resources - Integrates instructional text and live code cells within notebooks to facilitate a step-by-step learning workflow.
Educational Implementations - Translates mathematical machine learning concepts into executable Python code for educational purposes.
Online Development Environments - Provides an online development environment for executing programming exercises without local setup.
Browser-Based Execution Environments - Enables the execution of programming exercises directly within a web browser to avoid local installation.
Browser-Based Runtimes - Executes code within a hosted online environment to remove the need for local software installation.

بدائل مفتوحة المصدر لـ Ml Coursera Python Assignments

مشاريع مفتوحة المصدر مشابهة، مرتبة حسب عدد الميزات المشتركة مع Ml Coursera Python Assignments.

visualize-ml/book5_essentials-of-probability-and-statistics
Visualize-ML/Book5_Essentials-of-Probability-and-Statistics
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This project is an educational resource providing a mathematical foundation in probability and statistics for machine learning. It offers a collection of interactive notebooks and textbooks designed to explain core statistical theories and data science principles through practical code examples. The content is structured into modular chapters that allow for self-paced learning of topics such as Bayesian inference and probability distributions. By utilizing browser-based execution and declarative visualization, the project enables users to manipulate variables and observe mathematical outcomes
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ujjwalkarn/machine-learning-tutorials
ujjwalkarn/Machine-Learning-Tutorials
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This repository serves as a structured educational resource for machine learning and data science, providing a centralized collection of tutorials, lecture notes, and implementation guides. It is designed to support self-directed learning by organizing complex technical concepts into a clear, hierarchical path that spans from foundational statistical methods to advanced deep learning architectures. The project distinguishes itself through a comprehensive approach to skill development, bridging the gap between theoretical algorithmic foundations and functional software applications. It offers
awesomeawesome-listdeep-learning
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rasbt/python-machine-learning-book-3rd-edition
rasbt/python-machine-learning-book-3rd-edition
4,988عرض على GitHub
This is the companion code repository for the third edition of the book Python Machine Learning. It delivers the entire learning path as a structured collection of Jupyter notebooks that progress from classical machine learning algorithms to advanced deep learning models, with every concept demonstrated through executable code and narrative text. What distinguishes this resource is its pedagogical design. Each notebook cell encapsulates a single conceptual step, letting readers run, inspect, and modify discrete units of learning. The code provides interchangeable implementations of deep lea
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mrdbourke/zero-to-mastery-ml
mrdbourke/zero-to-mastery-ml
5,839عرض على GitHub
This project is a machine learning educational curriculum and learning platform delivered through interactive Jupyter Notebooks. It serves as a comprehensive guide for mastering the Python data science toolkit, providing structured tutorials for numerical computing, tabular data manipulation, and statistical visualization. The curriculum includes specific implementation guides for Scikit-Learn and a practical course on TensorFlow for constructing, training, and deploying neural networks and computer vision models. It covers the end-to-end process of building predictive models, from initial pr
Jupyter Notebookdata-sciencedeep-learningmachine-learning
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عرض جميع البدائل الـ 30 لـ Ml Coursera Python Assignments

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ما هي وظيفة dibgerge/ml-coursera-python-assignments؟

ما هي الميزات الرئيسية لـ dibgerge/ml-coursera-python-assignments؟

الميزات الرئيسية لـ dibgerge/ml-coursera-python-assignments هي: Machine Learning Education, Machine Learning Foundations, Machine Learning Implementations, Data Science Notebooks, Interactive Notebook Environments, Interactive Notebook Learning Resources, Educational Implementations, Online Development Environments.

ما هي البدائل مفتوحة المصدر لـ dibgerge/ml-coursera-python-assignments؟

تشمل البدائل مفتوحة المصدر لـ dibgerge/ml-coursera-python-assignments: visualize-ml/book5_essentials-of-probability-and-statistics — This project is an educational resource providing a mathematical foundation in probability and statistics for machine… ujjwalkarn/machine-learning-tutorials — This repository serves as a structured educational resource for machine learning and data science, providing a… rasbt/python-machine-learning-book-3rd-edition — This is the companion code repository for the third edition of the book *Python Machine Learning*. It delivers the… mrdbourke/zero-to-mastery-ml — This project is a machine learning educational curriculum and learning platform delivered through interactive Jupyter… kaieye/2022-machine-learning-specialization — This repository is a collection of machine learning course materials, providing study notes and Python implementation… luwill/machine_learning_code_implementation — This repository provides a collection of machine learning algorithms implemented from scratch using pure Python. It…

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الأسئلة الشائعة

ما هي وظيفة dibgerge/ml-coursera-python-assignments؟

ما هي الميزات الرئيسية لـ dibgerge/ml-coursera-python-assignments؟

ما هي البدائل مفتوحة المصدر لـ dibgerge/ml-coursera-python-assignments؟

Ml Coursera Python Assignments

Features

سجل النجوم

Ml Coursera Python Assignments

Features

بدائل مفتوحة المصدر لـ Ml Coursera Python Assignments

Visualize-ML/Book5_Essentials-of-Probability-and-Statistics

ujjwalkarn/Machine-Learning-Tutorials

rasbt/python-machine-learning-book-3rd-edition

mrdbourke/zero-to-mastery-ml

الأسئلة الشائعة

سجل النجوم

الأسئلة الشائعة

بدائل مفتوحة المصدر لـ Ml Coursera Python Assignments

Visualize-ML/Book5_Essentials-of-Probability-and-Statistics

ujjwalkarn/Machine-Learning-Tutorials

rasbt/python-machine-learning-book-3rd-edition

mrdbourke/zero-to-mastery-ml