#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
#go#docker#golang#media_streaming#remote_control#remote_desktop#self_hosted#virtual_browser#vue#webrtc
Neko is a self-hosted virtual browser that runs inside a Docker container and streams via WebRTC, letting you securely and privately access a full browser or desktop environment from anywhere. It supports multiple users at once, making it great for team collaboration, shared browsing, watch parties, and interactive presentations. You can run various browsers like Firefox, Chrome, or Tor, and even other Linux apps. Neko keeps your data safe by isolating the browser environment, avoids leaving traces on your device, and supports smooth video and audio streaming. This gives you flexible, secure, and private web access with easy sharing and real-time interaction.
https://github.com/m1k1o/neko
#cplusplus#c_plus_plus#cpp#datachannel#libdatachannel#libnice#p2p#peer_to_peer#peerconnection#rfc_8831#rfc_8834#rtcdatachannel#rtcpeerconnection#sctp#webrtc#webrtc_datachannel#webrtc_video#websocket
libdatachannel is a lightweight, easy-to-use C/C++ library that lets you add real-time peer-to-peer data, media, and WebSocket communication to your apps across many platforms like Linux, Windows, macOS, Android, and iOS. It simplifies WebRTC by providing a smaller, simpler alternative to Google's library, with compatibility for browsers like Firefox and Chrome. You can use it to connect native apps directly to web browsers with minimal dependencies, supporting secure connections via GnuTLS, Mbed TLS, or OpenSSL. It also supports compiling to WebAssembly for browser use, making it flexible for cross-platform real-time communication development[1][4]. This helps you build fast, efficient apps for video, audio, or data sharing without heavy libraries.
https://github.com/paullouisageneau/libdatachannel