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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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Crypto M - Crypto News

@CryptoM · Post #64776 · 04/09/2026, 10:11 PM

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🚀 CFTC and DOJ Legal Actions Could Influence Future of Prediction Markets The Commodity Futures Trading Commission (CFTC) and the Department of Justice (DOJ) have initiated legal proceedings against the states of Arizona, Connecticut, and Illinois concerning their actions against CFTC-registered prediction markets. According to NS3.AI, a recent 2-1 ruling by the Third Circuit Court upheld an injunction preventing New Jersey from applying its gambling laws to Kalshi, a prediction market platform. The court determined that Kalshi's contracts related to sports events are classified as swaps under the Commodity Exchange Act, thereby falling under the exclusive jurisdiction of the CFTC. This legal dispute has the potential to significantly influence the regulatory framework for decentralized prediction markets and crypto-native derivatives across the United States. #CFTC#DOJ#PredictionMarkets#Kalshi#CommodityExchangeAct#Regulation#CryptoDerivatives#USLaw#LegalActions#DecentralizedFinance

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