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#decisiontree — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #decisiontree, aggregated by home.social.

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  1. I have clean room implementations of the C4.5 decision tree in both Objective-C and C# from my context-sensing work in graduate school. I should dust them off and turn them into proper software packages one of these days.

    #C45DecisionTree #DecisionTree #MachineLearning #ArtificialIntelligence #AI

    C4.5 algorithm - Wikipedia

  2. Video hướng dẫn mới về Cây Quyết Định cho người mới bắt đầu! Học cách triển khai thuật toán này trong Python để xây dựng mô hình dự đoán khả năng duyệt vay. Một phần của series Học máy.

    #DecisionTree #MachineLearning #Python #AI #HocMay #LapTrinh #KhoaHocDuLieu

    reddit.com/r/programming/comme

  3. This series of videos on machine learning algorithms (Lab a through Lab d, so far) by Courage Kamusoko are the best explanations I've seen yet. How the models actually work, their strengths and weaknesses, what you are actually solving for when you tune the hyperparameters, and examples in Python. youtube.com/@couragekamusoko56
    #SVM #KNN #DecisionTree #RandomForest

  4. This series of videos on machine learning algorithms (Lab a through Lab d, so far) by Courage Kamusoko are the best explanations I've seen yet. How the models actually work, their strengths and weaknesses, what you are actually solving for when you tune the hyperparameters, and examples in Python. youtube.com/@couragekamusoko56
    #SVM #KNN #DecisionTree #RandomForest

  5. This series of videos on machine learning algorithms (Lab a through Lab d, so far) by Courage Kamusoko are the best explanations I've seen yet. How the models actually work, their strengths and weaknesses, what you are actually solving for when you tune the hyperparameters, and examples in Python. youtube.com/@couragekamusoko56
    #SVM #KNN #DecisionTree #RandomForest

  6. This series of videos on machine learning algorithms (Lab a through Lab d, so far) by Courage Kamusoko are the best explanations I've seen yet. How the models actually work, their strengths and weaknesses, what you are actually solving for when you tune the hyperparameters, and examples in Python. youtube.com/@couragekamusoko56
    #SVM #KNN #DecisionTree #RandomForest

  7. This series of videos on machine learning algorithms (Lab a through Lab d, so far) by Courage Kamusoko are the best explanations I've seen yet. How the models actually work, their strengths and weaknesses, what you are actually solving for when you tune the hyperparameters, and examples in Python. youtube.com/@couragekamusoko56
    #SVM #KNN #DecisionTree #RandomForest

  8. Uhm... if I get a decision tree like the one shown in the picture, does it mean that I only need the columns shown in the tree for training and validation, right? I would only need the columns 2 and 3 (x[2], x[3]), isn't it? Or am I missing something else?

    #Sklearn #MachineLearning #ML #DecisionTree

  9. Uhm... if I get a decision tree like the one shown in the picture, does it mean that I only need the columns shown in the tree for training and validation, right? I would only need the columns 2 and 3 (x[2], x[3]), isn't it? Or am I missing something else?

    #Sklearn #MachineLearning #ML #DecisionTree

  10. Uhm... if I get a decision tree like the one shown in the picture, does it mean that I only need the columns shown in the tree for training and validation, right? I would only need the columns 2 and 3 (x[2], x[3]), isn't it? Or am I missing something else?

    #Sklearn #MachineLearning #ML #DecisionTree

  11. Uhm... if I get a decision tree like the one shown in the picture, does it mean that I only need the columns shown in the tree for training and validation, right? I would only need the columns 2 and 3 (x[2], x[3]), isn't it? Or am I missing something else?

    #Sklearn #MachineLearning #ML #DecisionTree

  12. Uhm... if I get a decision tree like the one shown in the picture, does it mean that I only need the columns shown in the tree for training and validation, right? I would only need the columns 2 and 3 (x[2], x[3]), isn't it? Or am I missing something else?

    #Sklearn #MachineLearning #ML #DecisionTree

  13. Chess decision tree (source unknown).

    Unsurprising as you likely only have those planning-ahead skills in contractors (ie, not in the cheapest-vendor-the-insurance-company-has-approved)
    #decisiontree

  14. Chess decision tree (source unknown).

    Unsurprising as you likely only have those planning-ahead skills in contractors (ie, not in the cheapest-vendor-the-insurance-company-has-approved)
    #decisiontree

  15. Chess decision tree (source unknown).

    Unsurprising as you likely only have those planning-ahead skills in contractors (ie, not in the cheapest-vendor-the-insurance-company-has-approved)
    #decisiontree

  16. Chess decision tree (source unknown).

    Unsurprising as you likely only have those planning-ahead skills in contractors (ie, not in the cheapest-vendor-the-insurance-company-has-approved)
    #decisiontree

  17. Chess decision tree (source unknown).

    Unsurprising as you likely only have those planning-ahead skills in contractors (ie, not in the cheapest-vendor-the-insurance-company-has-approved)
    #decisiontree

  18. #KNIME offers the most complete range of advanced analytic techniques and allows users to dive deeper into their data. For example, increase the robustness of #decisiontree models with #randomforest algorithms.

    In this blog, we explore decision trees and how you can improve their predictions. Read now to learn tips and tricks on using this technique and applying it without code. bit.ly/45PczEc

    #KNIMEtips #datascience