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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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@githubtrending · Post #15549 · 03/08/2026, 12:00 PM

#python#ai_automation#api#audio_overview#claude#cli_tool#flashcards#google_notebooklm#notebooklm#notebooklm_api#notebookln#podcast_generator#python#python_api#quiz_generator#sdk#skills#study_tools notebooklm-py is a free Python tool and CLI for full access to Google NotebookLM's features, like creating notebooks, adding sources (URLs, PDFs, YouTube), chatting, deep research, and generating podcasts, videos, quizzes, slides, mind maps in formats like MP3, MP4, JSON. It offers extras the web lacks, such as batch downloads, editable PPTX, and mind map data. You benefit by automating research, content creation, and exports programmatically for faster prototypes, pipelines, or AI agents—saving time on manual UI work. https://github.com/teng-lin/notebooklm-py