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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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Orizzonti Politici

@OrizzontiPolitici · Post #45 · 04/23/2019, 12:46 PM

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#Italia#Europee Sono 16 i partiti ammessi alle elezioni europee, nessuna ha dovuto raccogliere le 150.000 firme necessarie, vediamoli insieme: -#M5S -#PD-#A1MDP-#DemoS -#Lega-#MNS -#FI (Insieme a #UdC-#MpA-#IDeA-#CP-#NPSI-#EpI-#RC-#PLI) -#FdI (Insieme a #DI-#DiventeràBellissima) -#LS (#SI-#PRC-#AET-#ÉViva) -#EV (#FdV-#Possibile) -#PiùE-#IiC (Insieme a #PSI-#PRI) -#PdF-#AP I partiti sottostanti sono stati ammessi anche senza avere né rappresentanza in parlamento né senza aver raccolto firme -#PC (Partito Comunista) -#CPI-#DU (CasaPound-Destre Unite) -#FN (Forza Nuova) -#PPI (Popolari Per l'Italia) -#PPIT (Partito Pirata) -#PAI (Partito Animalista Italiano) -#PPA (Popolo Partite IVA) Nelle tre regioni #ValleDAosta, #TrentinoAltoAdige e in #FVG troviamo diverse alleanze: -#ApE con il PD (#UV-#UVP-#ALPE-#EPAV-#SA) -#SVP-#PATT e #SSk con FI -#LAltoAdigeNelCuore con FdI -#VGV con #EV -#TK con #PiùE @NewsDalMondoo