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73 results

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GIDS
TheGuideBook Academia Exercise Classification Machine learning Education Data mining Clustering
  1. Go to item
    Workflow
    Clustering with k-Means
    Clustering K-Means Machine learning
    +3
    This workflow performs clustering of the iris dataset using k-Means. Two workflows: one to build the k-Means prototypes (top) and…
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter7 > 02_kMeans
    5
    knime
  2. Go to item
    Workflow
    Clustering with DBSCAN
    Clustering Machine learning Data mining
    +3
    This workflow performs clustering of the iris dataset using DBSCAN. Notice the Numeric Distances node to feed the DBSCAN node wit…
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter7 > 03_DBSCAN
    2
    knime
  3. Go to item
    Workflow
    Classification of the iris data using kNN
    TheGuideBook KNN K Nearest Neighbor
    +2
    This workflow solves a classification problem on the iris dataset using the k-Nearest Neighbor (kNN) algorithm.
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter9 > 01_kNN
    2
    knime
  4. Go to item
    Workflow
    Deployment to a Dashboard
    TheGuideBook Deployment Dashboard
    +1
    This deployment workflow builds a simple dashboard. Reads a pre-trained decision tree model and applies it to new data to predict…
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter10 > 01_Deploy_on_Dashboard
    1
    knime
  5. Go to item
    Workflow
    Naive Bayes
    TheGuideBook Naive Bayes Classification
    +1
    Using the adult dataset, this workflow performs binary classification using the Naive Bayes algorithm. The target is the income c…
    abeer > 02_NaiveBayes456456 > 02_NaiveBayes
    1
    abeer
  6. Go to item
    Workflow
    Hierarchical Clustering
    Clustering Machine learning Data mining
    +3
    This workflow clusters the iris dataset using Hierarchical Clustering
    jjmie > Public > 01_HierarchicalClustering
    1
    jjmie
  7. Go to item
    Workflow
    Hierarchical Clustering
    Clustering Machine learning Data mining
    +3
    This workflow clusters the iris dataset using Hierarchical Clustering
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter7 > 01_HierarchicalClustering
    1
    knime
  8. Go to item
    Workflow
    Market Basket Analysis: Building Association Rules
    Retail Association rules Recommandation engine
    +11
    This workflow builds a recommandation engine for market basket analysis using the Borgelt version of the Apriori algorithm.
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter7 > 04_Association_Rules_for_MarketBasketAnalysis
    1
    knime
  9. Go to item
    Workflow
    Decision Tree
    TheGuideBook Decision Tree Classification
    +1
    Using the adult dataset, this workflow performs binary classification (income > or < 50K) using a Decision Tree. The target is th…
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter8 > 01_DecisionTree
    1
    knime
  10. Go to item
    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
  11. Go to item
    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
  12. Go to item
    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
  13. Go to item
    Workflow
    01_Basic_Clustering_Workflow
    Clustering Beginners Start
    +3
    Basic Example of data access (File Reading), data wrangling (Column Filter + Normalization), clustering (k-Means), and finally co…
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > AppendixB > 01_Basic_Clustering_Workflow
    0
    knime
  14. Go to item
    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
  15. Go to item
    Workflow
    Deployment as REST Service
    TheGuideBook Deployment REST
    +2
    This workflow is configurable as a REST service. It receives a JSON file and transforms it back to a data table containing custom…
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter10 > 02_Deploy_as_RESTservice
    0
    knime
  16. Go to item
    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
  17. Go to item
    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
  18. Go to item
    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
  19. Go to item
    Workflow
    Deployment to a Dashboard
    TheGuideBook Deployment Dashboard
    +1
    This deployment workflow builds a simple dashboard. Reads a pre-trained decision tree model and applies it to new data to predict…
    knownusername > Public > 01_Deploy_on_Dashboard
    0
    knownusername
  20. Go to item
    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

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