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Feature importance
PCA Data manipulation Dimensionality reduction Education Preprocessing Conda Python and KNIME Feature Selection Python KNIME integration
  1. Workflow
    Dimensionality Reduction - solution
    Dimensionality reduction Data manipulation Preprocessing
    +3
    Introduction to Machine Learning Algorithms course - Session 4 Solution to exercise 4 Apply the following dimensionality reductio…
    jiyeonee > Public > L4-ML Introduction to Machine Learning Algorithms > Session_4 > 02_Solutions > 04_Dimensionality_Reduction_solution
    0
    jiyeonee
  2. Workflow
    Tyranny of Coincidence
    Feature selection Target shuffling Simulation
    +3
    The workflow that was used in the October 15, 2020 webinar titled "Tyranny of Coincidence". The workflow simulates data then show…
    mdbrannock > Public > Tyranny of Coincidence
    0
    mdbrannock
  3. Workflow
    Discovering relationships in features--Heart Disease
    Feature importance Density plots Box plots
    +1
    The workflow is intended as a demo for discovering relationships in features using several methods and charts. Data used is Heart…
    ashokharnal > Collection of Components and Workflows > healthcare analytics > stat_heartUCR_project
    0
    ashokharnal
  4. Workflow
    Dimensionality Reduction - exercise
    Dimensionality reduction Data manipulation Preprocessing
    +3
    Introduction to Machine Learning Algorithms course - Session 4 Exercise 4 Apply the following dimensionality reduction techniques…
    jiyeonee > Public > L4-ML Introduction to Machine Learning Algorithms > Session_4 > 01_Exercises > 04_Dimensionality_Reduction
    0
    jiyeonee
  5. Workflow
    Feature Importance based on RF
    Feature Importance Variable Importance Feature Selection
    +2
    This Workflow demonstrates the usage of the Component "RF Feature Importance". It can be used in binary classification scenario t…
    mahan_personal > Public > Feature Importance based on RF
    0
    mahan_personal
  6. Workflow
    Dimensionality Reduction - solution
    Dimensionality reduction Data manipulation Preprocessing
    +3
    Introduction to Machine Learning Algorithms course - Session 4 Solution to exercise 4 Apply the following dimensionality reductio…
    knime > Education > Courses > L4-ML Introduction to Machine Learning Algorithms > Session_4 > 02_Solutions > 04_Dimensionality_Reduction_solution
    0
    knime
  7. Workflow
    Dimensionality Reduction - exercise
    Dimensionality reduction Data manipulation Preprocessing
    +3
    Introduction to Machine Learning Algorithms course - Session 4 Exercise 4 Apply the following dimensionality reduction techniques…
    knime > Education > Courses > L4-ML Introduction to Machine Learning Algorithms > Session_4 > 01_Exercises > 04_Dimensionality_Reduction_exercise
    0
    knime
  8. Workflow
    Dimensionality Reduction
    Dimensionality reduction Data manipulation Preprocessing
    +3
    Introduction to Machine Learning Algorithms course - Session 4 Exercise 4 Apply the following dimensionality reduction techniques…
    hayasaka > L4-ML-2Hrs-2021-07 > Exercises > 07_Dimensionality_Reduction
    0
    hayasaka
  9. Workflow
    Dimensionality Reduction
    Dimensionality reduction Data manipulation Preprocessing
    +3
    Introduction to Machine Learning Algorithms course - Session 4 Solution to exercise 4 Apply the following dimensionality reductio…
    hayasaka > L4-ML-2Hrs-2021-07 > Solutions > 07_Dimensionality_Reduction_solution
    0
    hayasaka