Random Forest Explained | Random Forest Algorithm in Machine Learning | Data Science | Intellipaat

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  • čas přidán 2. 06. 2024
  • ▶️ Intellipaat's Advanced Certification in Data Science and AI: intellipaat.com/advanced-cert...
    If you're interested in machine learning, you've probably heard of "Random Forest". In this video on Random Forest Algorithm in Machine Learning, we'll explore what Random Forest is, how it works, and how it can be used in various applications.
    Random Forest is a popular machine learning algorithm that is used for classification, regression, and feature selection tasks. It is a type of ensemble learning method that combines multiple decision trees to make more accurate predictions. Each decision tree is trained on a subset of the data and a random subset of features, which helps to prevent overfitting and improve generalization.
    Whether you're new to machine learning or an experienced practitioner, this video will provide a comprehensive overview of Random Forest and its applications. So sit back, relax, and let's dive into the world of Random Forest!
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    #RandomForestExplained #RandomForestAlgorithminMachineLearning #DataScience #Intellipaat
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    🔵 Following topics are covered in this session:
    0:00 - Introduction
    1:19 - What is Random Forest?
    3:23 - Concept of Decision Tree
    5:34 - Working Details of Random Forest Algorithms
    12:16 - Advantages & Disadvantages of Random Forest Algorithms
    16:55 - Hands-On Demo for Random Forest
    ----------------------------
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Komentáře • 14

  • @Intellipaat
    @Intellipaat  Před rokem

    ▶Want to get Master in Data Scence? Enroll in our Data Science and AI here: intellipaat.com/advanced-certification-data-science-artificial-intelligence-iit-madras/
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  • @exiphykiller8438
    @exiphykiller8438 Před rokem +3

    Please do add time stamps for different things you cover in coding too. Like there was section where you covered Hyperparameter-tuning. Would help keep track of things in first place as a viewer.
    Session was awesome👌

    • @Intellipaat
      @Intellipaat  Před rokem

      Sure! We'll do it. Meanwhile, Do like, share & subscribe to our channel to get updates on upcoming videos.

  • @sign884
    @sign884 Před rokem +2

    Knowledgefull things

    • @Intellipaat
      @Intellipaat  Před rokem

      Glad you liked it 😊 Do like, share & subscribe to our channel to get updates on upcoming videos.

  • @give-me-guts-to-accept-truth
    @give-me-guts-to-accept-truth Před 11 měsíci +1

    Flawless... thoroughly enjoyed sir this easiest explanation ❤❤❤❤

    • @Intellipaat
      @Intellipaat  Před 11 měsíci

      Glad it was helpful! Do like, share & subscribe to our channel to get updates on upcoming videos.

  • @adambandra6414
    @adambandra6414 Před rokem +2

    Thank u for easy explain

    • @Intellipaat
      @Intellipaat  Před rokem

      Glad you liked it 😊 Do like, share & subscribe to our channel to get updates on upcoming videos.

  • @TheCodingBinary
    @TheCodingBinary Před 6 měsíci +1

    Great tutorial. I have a question about the last section while you were dropping the least performative parameters to create the independent features Xn, why didn't you drop *class* as it was going to be the target feature yn?

    • @Intellipaat
      @Intellipaat  Před 6 měsíci

      If you wish to get Personal support, fill out this form and we will reach out to you. Have a great day!
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  • @rishiraj2548
    @rishiraj2548 Před rokem +2

    Good day greetings

    • @Intellipaat
      @Intellipaat  Před rokem

      Do like, share & subscribe to our channel to get updates on upcoming videos.

  • @give-me-guts-to-accept-truth
    @give-me-guts-to-accept-truth Před 11 měsíci

    🙏🏻🙏🏻🙏🏻🙏🏻🙏🏻