2 repository-uri
Awesome GitHub RepositoriesCloud Machine Learning Examples
Practical demonstrations of machine learning workflows implemented in cloud environments.
Distinguishing note: Focuses on cloud-based ML scenarios rather than general cloud computing.
Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Cloud Machine Learning Examples. Refine with filters or upvote what's useful.
Awesome Cloud Machine Learning Examples GitHub Repositories
Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
- microsoft/data-science-for-beginners
microsoft/Data-Science-For-Beginners
35,657Vezi pe GitHubThis project is a comprehensive educational curriculum designed to teach the fundamental concepts, workflows, and tools of data science. It provides a structured learning path that covers the end-to-end data science lifecycle, including data acquisition, maintenance, processing, and pattern discovery, while grounding theoretical knowledge in practical, real-world applications. The curriculum distinguishes itself through a data-driven pedagogical design that utilizes interactive, notebook-based lessons. By combining narrative text with live code blocks, the platform allows learners to experime
Provides tangible scenarios for applying machine learning techniques in cloud environments.
Jupyter Notebookdata-analysisdata-sciencedata-visualization - ageron/handson-ml3
ageron/handson-ml3
13,463Vezi pe GitHubThis repository serves as a comprehensive educational resource for mastering machine learning and deep learning through a series of interactive Jupyter Notebooks. It provides a structured collection of tutorials and code examples designed to guide users through the fundamental and advanced techniques of the Python data science ecosystem. The project distinguishes itself by offering hands-on exercises that demonstrate the full lifecycle of machine learning projects. Users can explore end-to-end data pipelines, ranging from initial data loading and preprocessing to the training and deployment o
Facilitates prototyping and experimentation with machine learning models in remote cloud environments.
Jupyter Notebook
