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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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Tutto Elezioni

@tuttoelezioni · Post #1357 · 10/27/2025, 07:18 AM

#Argentina🇦🇷 #Parlamentari Risultati parziali. Senato. Sezioni scrutinate: 25.571/25.861 (98,87%). 🟪 La Libertà Avanza (#LLA|Libertaristi di destra): 42,03% (13) 🟦 Forza Patria (#FP|Centrosinistra peronista): 23,21% (6) 🟥 Fronte Civico per Santiago (#FCS): 6,17% (2) 🟦 Forza Entre Ríos (#FER): 5,20% (1) Prima i Salteni (#PS): 3,60% (1) 🟥 Fronte di Sinistra (#FITU|Trotskisti): 2,74% (0) Altri: 17,05% (1) N.B.: Tra parentesi sono indicati i seggi ottenuti. @TuttoElezioni

Tutto Elezioni

@tuttoelezioni · Post #1356 · 10/27/2025, 07:15 AM

#Argentina🇦🇷 #Parlamentari Risultati parziali. Camera dei deputati. Sezioni scrutinate: 108.125/108.992 (99,20%). 🟪 La Libertà Avanza (#LLA|Libertaristi di destra): 40,65% (64) 🟦 Forza Patria (#FP|Centrosinistra peronista): 24,31% (31) 🟦 Province Unite (#PU|Centro): 4,96% (5) 🟥 Fronte di Sinistra (#FITU|Trotskisti): 3,71% (3) 🟦 Fronte Prima il Tucumán (#FTP): 2,28% (2) 🟥 Fronte Civico per Santiago (#FCS): 1,23% (2) 🟦 Forza Giustizialista Mendoza (#FJM): 1,10% (1) 🟦 Forza Entre Ríos (#FER): 1,06% (2) 🟪 Proposta federale per il cambiamento (#PFC): 1,05% (0) Altri: 19,65% (17) N.B.: Tra parentesi sono indicati i seggi ottenuti. @TuttoElezioni