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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 #14805 · 06/08/2025, 11:30 AM

#c_lang#alsa#audio_visualizer#freebsd#glsl_shaders#linux#macos#ncurses#pipewire#portaudio#pulseaudio#sdl2#sndio#windows Cava is a free, open-source audio visualizer that works on Linux, FreeBSD, macOS, and Windows, letting you see music as moving bars right in your terminal or desktop window[1][3]. It’s easy to install and use, supports many audio systems, and lets you customize colors and settings. The main benefit is that it makes listening to music more fun and visually engaging, especially for people who enjoy seeing sound represented in real time, and it works on almost any computer or device[1][3][4]. https://github.com/karlstav/cava