@tomoko_channel · Post #1349 · 10/14/2025, 01:16 AM
🔖 独居生活清洁指南 - 少数派 #pinboard#clean https://sspai.com/post/43862
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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
Search: #clean
@tomoko_channel · Post #1349 · 10/14/2025, 01:16 AM
🔖 独居生活清洁指南 - 少数派 #pinboard#clean https://sspai.com/post/43862
@LiveHealthy · Post #7080 · 03/20/2025, 09:58 PM
#clean#kitchen
@Shumozy · Post #8776 · 12/25/2025, 07:59 AM
#Windows#Install#Clean Up https://pan.quark.cn/s/04a85bcccc73 https://pan.baidu.com/s/1UxkdBBRzvvwtgcLQ3-VFBA?pwd=yguj https://pan.xunlei.com/s/VOhJVolqMRujDdmMR4dvqQj-A1?pwd=hgan 频道指南机场推荐AI绘画
@TestFlightX · Post #34484 · 11/06/2024, 01:23 AM
#SPAMDRAIN#CLEAN#EMAIL https://testflight.apple.com/join/dXHMfCSC
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@githubtrending · Post #15374 · 12/28/2025, 01:00 PM
#shell#analyzer#appcleaner#clean#cleaner#cleaner_cli#cleaner_script#command_line#daisydisk#istat#mac#macos#optimize#sensei#shell#uninstall Mole is a free, open-source terminal tool that deeply cleans and optimizes your Mac by removing caches, logs, browser junk, and app leftovers—freeing up gigabytes like 95GB in one go. It smartly uninstalls apps with all hidden files, analyzes disk space visually, monitors CPU/memory live, and rebuilds caches for better speed. Install easily via curl or Homebrew, preview changes safely, and use Touch ID. This saves you money on paid cleaners, reclaims storage fast, boosts performance, and diagnoses issues simply from your terminal. https://github.com/tw93/Mole