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Random Forest Explained | Multiple Decision Trees for Powerful AI | Hrworkoze
3:05
YouTubeHrworkoze
Random Forest Explained | Multiple Decision Trees for Powerful AI | Hrworkoze
🌲 What’s better than one Decision Tree? A whole forest of them! 🌲 In this video, you’ll learn: ️ What a Random Forest is & why it’s powerful ️ How it improves accuracy & reduces overfitting ️ Hands-on coding: Predict if someone buys a computer ️ How bootstrap sampling & feature randomness make the model robust ️ Why Random ...
1 week ago
Random Forest Tutorial
Introduction to Random Forests in Scikit-Learn (sklearn) • datagy
Introduction to Random Forests in Scikit-Learn (sklearn) • datagy
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Jan 5, 2022
Random Forest Algorithm Explained with Python and scikit-learn
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Random Forest Algorithm Explained with Python and scikit-learn
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36.5K viewsAug 31, 2023
Introduction to Random Forest in R
Introduction to Random Forest in R
simplilearn.com
Oct 17, 2018
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Why Are Decision Trees So Effective For ML Algorithms? - AI and Machine Learning Explained
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Amit Gupta | AI Coach on Instagram: "🎬 Ever asked a bunch of friends which movie you should watch? One says action, another says rom-com, someone else says thriller. Alone, each friend might be biased… but when you take the majority vote, you usually end up with the best choice. That’s exactly how a Random Forest works 🌳🌳🌳 — it trains multiple decision trees on random parts of data. Each tree gives its “opinion” (a prediction), and the forest combines them to make a stronger, more accurate d
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Amit Gupta | AI Coach on Instagram: "🎬 Ever asked a bunch of friends which movie you should watch? One says action, another says rom-com, someone else says thriller. Alone, each friend might be biased… but when you take the majority vote, you usually end up with the best choice. That’s exactly how a Random Forest works 🌳🌳🌳 — it trains multiple decision trees on random parts of data. Each tree gives its “opinion” (a prediction), and the forest combines them to make a stronger, more accurate d
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Amit Gupta | AI Coach on Instagram: "🎬 Ever asked a bunch of friends which movie you should watch? One says action, another says rom-com, someone else says thriller. Alone, each friend might be biased… but when you take the majority vote, you usually end up with the best choice. That’s exactly how a Random Forest works 🌳🌳🌳 — it trains multiple decision trees on random parts of data. Each tree gives its “opinion” (a prediction), and the forest combines them to make a stronger, more accurate d
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Day 7 Highlights – Artificial Intelligence Watch how students explored Supervised vs Unsupervised Learning, their concepts, applications, and differences. They were introduced to Scikit-learn for model building, and learned model training and evaluation using algorithms such as Linear Regression, Decision Trees, Random Forests, and Support Vector Machines (SVMs). مصنوعی ذہانت کورس – دن 7 دیکھیں کہ کیسے 1طلباء نے Supervised اور Unsupervised Learning کے بنیادی تصورات، استعمالات اور فرق کو سمجھا۔ ا
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