2 repositorios
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
Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
- microsoft/data-science-for-beginners
microsoft/Data-Science-For-Beginners
35,657Ver en 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
13,463Ver en 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
