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GIDS TheGuideBook Exercise Algorithm Cluster K-Means Classification Machine learning
  1. 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
  2. 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
  3. 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
  4. 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
  5. Workflow
    Logistic Regression
    Logistic regression Classification Education
    +4
    Logistic Regression: predict wine color. - Normalize numerical columns - Partition the dataset into train and test set - Train a …
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter8_Regression > Logistic_Regression_Exercise
    0
    knime
  6. 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
  7. 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
  8. 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…
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter7_Clustering > Clustering_Solution
    0
    knime
  9. Workflow
    Logistic Regression
    Logistic regression Classification Education
    +4
    Logistic Regression: predict wine color. - Normalize numerical columns - Partition the dataset into train and test set - Train a …
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter8_Regression > Logistic_Regression_Solution
    0
    knime
  10. 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…
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter7_Clustering > Clustering_Exercise
    0
    knime
  11. 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
  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