Machine Learning Algorithms Explained: Part 6 – 🌳 Random Forest
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Machine Learning Algorithms Explained: Part 6 – 🌳 Random Forest
Ever wondered how machines make accurate predictions? 🌳 In this episode, we dive into Random Forest, a powerful ML algorithm that combines multiple decision trees for better results. Let’s break it down! 🚀📉
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Random Forest is an ensamble learning method used for classification. It operates by constructing multiple decision trees during training. The output of the random forest is the class selected by the majority of the trees | Code on my GitHub 💻 #ml #ai #randomforest #decisiontree #fyp #artificialintelligence #machinelearning #datascience #classification #classifier #aprendizajeautomático #ia #inteligenciaartificial
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