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GIDS Exercise Education Classification Regression Algorithm Cluster K-Means
  1. Workflow
    Introduction
    GIDS Exercise Academia
    +1
    Exercise to perform basic operations in KNIME: - Read data - Filter rows - Filter columns - Write and plot data
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter1_Introduction > Introduction_Solution
    0
    knime
  2. Workflow
    Introduction
    GIDS Exercise Academia
    +1
    Exercise to perform basic operations in KNIME: - Read data - Filter rows - Filter columns - Write and plot data
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter1_Introduction > Introduction_Exercise
    0
    knime
  3. Workflow
    Numeric_Scorer
    GIDS Exercise Academia
    +2
    Numeric scorer: compare performance of two regression models
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter5_Principles_of_Modeling > Numeric_Scorer_Solution
    0
    knime
  4. Workflow
    Confusion_Matrix
    GIDS Exercise Academia
    +2
    Confusion matrix: evaluate the performance of a classification model
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter5_Principles_of_Modeling > Confusion_Matrix_Solution
    0
    knime
  5. Workflow
    ROC_Curve
    GIDS Exercise Academia
    +2
    ROC Curve: compare the performance of two classification models
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter5_Principles_of_Modeling > ROC_Curve_Solution
    0
    knime
  6. Workflow
    Ensemble methods
    Classification Random forest Gradient boosted trees
    +7
    Ensembles: binary classification of house ranking (high/low rank). - Random forest - Gradient Boosted Trees - Training - Evaluati…
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter9_Ensemble_Methods > Ensemble_Exercise
    0
    knime
  7. Workflow
    Regression Tree - Solution
    Regression Machine learning Education
    +4
    Regression Tree: predict house price. - Partition data into training and test set - Train a regression tree model - Apply the tra…
    msarco > Public > Regression_Tree_Solution
    0
    msarco
  8. Workflow
    Decision Tree
    Classification Education Decision tree
    +4
    Decision Tree: binary classification of house ranking (high/low rank). - Create target column - Filter unnecessary columns - Spli…
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter8_Decision_and_Regression_Trees > Decision_Tree_Exercise
    0
    knime
  9. Workflow
    Regression Tree
    Regression Machine learning Education
    +4
    Regression Tree: predict house price. - Partition data into training and test set - Train a regression tree model - Apply the tra…
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter8_Decision_and_Regression_Trees > Regression_Tree_Exercise
    0
    knime
  10. Workflow
    Decision Tree
    Classification Education Decision tree
    +4
    Decision Tree: binary classification of house ranking (high/low rank). - Create target column - Filter unnecessary columns - Spli…
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter8_Decision_and_Regression_Trees > Decision_Tree_Solution
    0
    knime
  11. Workflow
    Ensemble methods
    Classification Random forest Gradient boosted trees
    +7
    Ensembles: binary classification of house ranking (high/low rank). - Random forest - Gradient Boosted Trees - Training - Evaluati…
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter9_Ensemble_Methods > Ensemble_Solution
    0
    knime
  12. Workflow
    Regression Tree - Solution
    Regression Machine learning Education
    +4
    Regression Tree: predict house price. - Partition data into training and test set - Train a regression tree model - Apply the tra…
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter8_Decision_and_Regression_Trees > Regression_Tree_Solution
    0
    knime
  13. Workflow
    ROC_Curve
    GIDS Exercise Academia
    +2
    ROC Curve: compare the performance of two classification models
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter5_Principles_of_Modeling > ROC_Curve_Exercise
    0
    knime
  14. Workflow
    Confusion_Matrix
    GIDS Exercise Academia
    +3
    Confusion matrix: evaluate the performance of a classification model
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter5_Principles_of_Modeling > Confusion_Matrix_Exercise
    0
    knime
  15. Workflow
    Clustering - Solution
    Cluster K-Means Algorithm
    +5
    - Filter rows - Train a k-Means model - Visualize clustered entries on Scatter plot and OSM Map - Calculate Silhouette Coefficien…
    vgironda > Public > Clustering_Solution
    0
    vgironda
  16. Workflow
    Clustering
    Cluster K-Means Algorithm
    +5
    - Filter rows - Train a k-Means model - Visualize clustered entries on Scatter plot and OSM Map - Calculate Silhouette Coefficien…
    jjmie > Public > Clustering_Exercise
    0
    jjmie
  17. Workflow
    Numeric_Scorer
    GIDS Exercise Academia
    +2
    Numeric scorer: compare performance of two regression models
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter5_Principles_of_Modeling > Numeric_Scorer_Exercise
    0
    knime
  18. Workflow
    Linear Regression
    GIDS Academia Exercise
    +2
    Linear regression: predict house price. - Partition data into training and test set - Train a linear regression model - Apply the…
    stelfrich > Public > Regression SHAP Shapley
    0
    stelfrich
  19. Workflow
    Clustering - Solution
    Cluster K-Means Algorithm
    +5
    - Filter rows - Train a k-Means model - Visualize clustered entries on Scatter plot and OSM Map - Calculate Silhouette Coefficien…
    vgironda > Public > Clustering_Solution_martes
    0
    vgironda
  20. Workflow
    Linear Regression
    GIDS Academia Exercise
    +2
    Linear regression: predict house price. - Partition data into training and test set - Train a linear regression model - Apply the…
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter8_Regression > Linear_Regression_Exercise
    0
    knime