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  1. 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. Workflow
    Performing a k-Means clustering
    Clustering K-Means Machine learning
    +1
    This workflow shows how to perform a clustering of the iris dataset using the k-Means node.
    knime > Examples > 04_Analytics > 03_Clustering > 01_Performing_a_k-Means_Clustering
    5
    knime
  3. Workflow
    Search Engine Optimization (SEO) with Verified Components
    Seo Twitter Semantic
    +3
    This workflow demonstrates basic usage of the Google and Twitter URLs Extractor components, as well as the Web Scrapper and Keywo…
    paolotamag > Public > Search_Engine_Optimization_(SEO)_with_Verified_Components
    4
    paolotamag
  4. Workflow
    Topic Extraction
    Topic Extraction Clustering
    +5
    This workflow shows how to extract topics from text documents using the Topic Extractor node. It reads textual data from a table …
    knime > Examples > 08_Other_Analytics_Types > 01_Text_Processing > 17_TopicExtraction_with_the_ElbowMethod
    3
    knime
  5. Workflow
    Search Engine Optimization (SEO) with Verified Components
    Seo Twitter Semantic
    +4
    This workflow demonstrates basic usage of the Google and Twitter URLs Extractor components, as well as the Web Scrapper and Keywo…
    knime > Machine Learning and Marketing > SEO > Semantic Keyword Search > Search_Engine_Optimization_(SEO)_with_Verified_Components
    3
    knime
  6. 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
  7. Workflow
    Hierarchical Clustering
    Clustering Machine learning Data mining
    +3
    This workflow clusters the iris dataset using Hierarchical Clustering
    jjmie > Public > 01_HierarchicalClustering
    1
    jjmie
  8. Workflow
    Mixing Deep Learning with XGBoost
    Deep Learning Machine Learning XGBoost
    +11
    This workflow shows how to train an XGBoost based image classifier that uses a pretrained convolutional neural network to extract…
    christian.birkhold > Deep Learning with XGBoost > Mixing_DL_with_XGBoost
    1
    christian.birkhold
  9. Workflow
    Housing Value Prediction using XGBoost for Regression
    XGBoost Regression Gradient boosting
    +5
    This workflow shows how the XGBoost nodes can be used for regression tasks. It also demonstrates a combination of parameter optim…
    knime > Examples > 04_Analytics > 16_XGBoost > 02_Housing_Value_Regression_with_XGBoost
    1
    knime
  10. Workflow
    Performing a k-Medoids clustering
    Clustering K-Medoids Machine learning
    +1
    This workflow shows how to perform a clustering of the iris dataset using the k-Medoids node.
    knime > Examples > 04_Analytics > 03_Clustering > 02_Performing_a_k-Medoids_Clustering
    1
    knime
  11. Workflow
    Applying Optimized Threshold from Binary Calssification Inspector
    Machine Learning Classification Data Mining
    +7
    This workflow is made to show how to apply the threshold computed by the Binary Classification Inspector for new data. the thresh…
    paolotamag > Public > Applying_Optimized_Threshold_from_Binary_Calssification_Inspector
    1
    paolotamag
  12. Workflow
    Adding cluster labels after k-Means clustering
    Clustering K-Means Machine learning
    +2
    This workflow demonstrates how to add defined cluster labels after k-Means clustering on only one column is performed. This is do…
    ipazin > Public > 2020_09_25_Adding_Cluster_Labels_k-Means_Custering
    1
    ipazin
  13. 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
  14. Workflow
    Data Mining
    Machine learning Data mining Classification
    +11
    Exercise 4 for KNIME User Training - Training a Decision Tree to predict a nominal target column - Evaluate the model performance…
    harlith1 > Public > 04. Data Mining
    0
    harlith1
  15. Workflow
    Data Mining - Solution
    Machine learning Data mining Classification
    +11
    Exercise 4 for KNIME User Training - Training a Decision Tree to predict a nominal target column - Evaluate the model performance…
    mprof9 > Public > L1-DS KNIME Analytics Platform for Data Scientists - Basics > solutions > 04. Data Mining - solution
    0
    mprof9
  16. Workflow
    Advanced Machine Learning - Chemistry Solution
    Machine learning Data mining Classification
    +10
    Solution to the "Advanced Machine Learning Chemistry" exercise for the advanced Life Science User Training - Training a Random Fo…
    catherineoleary > Public > L2-LS KNIME Analytics Platform for Data Scientists - Life Sciences - Advanced > Solutions > 03. Advanced Machine Learning Chemistry - solution
    0
    catherineoleary
  17. Workflow
    Performing a k-Means clustering
    Clustering K-Means Machine learning
    +1
    This workflow shows how to perform a clustering of the iris dataset using the k-Means node.
    khoabk97bosch > Public > 01_Performing_a_k-Means_Clustering
    0
    khoabk97bosch
  18. Workflow
    Data Mining
    Machine learning Data mining Classification
    +11
    Exercise 4 for KNIME User Training - Training a Decision Tree to predict a nominal target column - Evaluate the model performance…
    lilipertiwi > Public > KNIMEUserTraining > exercises > 04. Data Mining
    0
    lilipertiwi
  19. Workflow
    Advanced Machine Learning - Chemistry Solution
    Machine learning Data mining Classification
    +10
    Solution to the "Advanced Machine Learning Chemistry" exercise for the advanced Life Science User Training - Training a Random Fo…
    rubiocarolina > Public > Solutions > 03. Advanced Machine Learning Chemistry - solution
    0
    rubiocarolina
  20. Workflow
    Learn a Gradient Boosted Trees model
    Classification Machine learning Gradient boosting
    +3
    This workflow shows how to learn a Gradient Boosted Trees model on the adult data set.
    amfita > Public > 05_Gradient_Boosted_Trees
    0
    amfita