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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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djangoproject

@djangoproject · Post #533 · 12/21/2017, 02:21 PM

http://greenteapress.com/wp/modsimpy/ Free Book: #Modeling and #Simulation in Python Modeling and Simulation in Python is an introduction to physical modeling using a #computational approach. It is organized in three parts: The first part presents discrete models, including a bikeshare system and world population growth. The second part introduces first-order systems, including models of infectious disease, thermal systems, and chemical kinetics. The third part is about second-order systems, including mechanical systems like projectiles, celestial mechanics, and rotating rigid bodies.