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Source channel @githubtrending · Post #14869 · Jun 26

#html#data_science#education#machine_learning#machine_learning_algorithms#machinelearning#machinelearning_python#microsoft_for_beginners#ml#python#r#scikit_learn#scikit_learn_python Microsoft’s "Machine Learning for Beginners" is a free, 12-week course with 26 lessons designed to teach classic machine learning using Python and Scikit-learn. It includes quizzes, projects, and assignments to help you learn by doing, with lessons themed around global cultures to keep it engaging. You can access solutions, videos, and even R language versions. The course is beginner-friendly, flexible, and helps build practical skills step-by-step, making it easier to understand and apply machine learning concepts in real-world scenarios. This structured approach boosts your learning retention and prepares you for further study or career growth in ML[1][5]. https://github.com/microsoft/ML-For-Beginners

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djangoproject

@djangoproject · Post #440 · 09/13/2017, 02:50 PM

Using the Django authentication system This document explains the usage of Django’s #authentication system in its default configuration. This configuration has evolved to serve the most common project needs, handling a reasonably wide range of tasks, and has a careful implementation of #passwords and #permissions. For projects where authentication needs differ from the default, #Django supports extensive extension and customization of authentication. https://docs.djangoproject.com/es/1.11/topics/auth/default/

djangoproject

@djangoproject · Post #441 · 09/13/2017, 02:56 PM

User authentication in #Django Django comes with a user authentication system. It handles user #accounts, #groups, #permissions and #cookie-based user #sessions. This section of the documentation explains how the default implementation works out of the box, as well as how to extend and customize it to suit your project’s needs. https://docs.djangoproject.com/es/1.11/topics/auth/

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@githubtrending · Post #14663 · 05/02/2025, 12:30 PM

#python#agents#ai#ai_agents#api#developer_tools#function_calling#integration#llm#mcp#oauth2#open_source#permissions#tools ACI.dev is an open-source platform that helps build AI agents by providing easy access to over 600 tools. It simplifies authentication and tool integration, allowing AI agents to work with many services like Google Calendar and Slack without needing separate setups. This platform offers multi-tenant authentication, flexible access methods, and natural language permissions, making it easier to manage and secure AI agent capabilities. It's open-source and works with any framework, which means you can build AI agents without worrying about vendor lock-in. https://github.com/aipotheosis-labs/aci