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H2o.ai Machine learning Automl Knime Xgboost Learning Machine Regression
  1. Workflow
    Customer prediction with H2O in KNIME
    H2O Customer prediction Kaggle
    +1
    The purpose of this workflow is to showcase the ease of use of the H2O functionalities from within KNIME. As a real world usecase…
    knime > Examples > 04_Analytics > 15_H2O_Machine_Learning > 07_Customer_prediction_with_H2O
    5
    knime
  2. Workflow
    H2O Isolation Forest for Outlier Detection Explained by Shapley Values
    H2O Machine learning Isolation Forest
    +4
    This tutorial shows how to train an H2O Model in KNIME. We will train an Isolation Forest Model to detect frauds, i.e. outliers o…
    paolotamag > Public > H2O_Isolation_Forest_Outlier_Detection_with_Shapley_Values
    2
    paolotamag
  3. Workflow
    Machine Learning Meta Collection (with KNIME)
    Knime Machine Learning
    +11
    Machine Learning Meta Collection (with KNIME) This meta collection is about machine learning. It contains links to some examples …
    mlauber71 > Public > _machine_learning_meta_collection
    1
    mlauber71
  4. Workflow
    H2O.ai AutoML (wrapped with R) in KNIME for regression problems
    H2o Automl Knime
    +8
    H2O.ai AutoML (wrapped with R) in KNIME for regression problems - a powerful auto-machine-learning framework (https://hub.knime.c…
    mlauber71 > Public > automl > kn_automl_h2o_regression_r
    1
    mlauber71
  5. Workflow
    20221207 Pikairos Bayesian Classifier for CDPK1 using H20 plugin and Fingerprints
    H2O Fingerprints Molecules
    +2
    This workflow tries to bring an answer to question asked in the KNIME forum thread
    pikairos > Public > 20221207 Pikairos Bayesian Classifier for CDPK1 using H20 plugin and Fingerprints
    1
    pikairos
  6. Workflow
    H2O.ai AutoML (wrapped with Python) in KNIME for regression problems
    H2o Automl Knime
    +8
    H2O.ai AutoML (wrapped with Python) in KNIME for regression problems - a powerful auto-machine-learning framework (https://hub.kn…
    mlauber71 > Public > automl > kn_automl_h2o_regression_python
    1
    mlauber71
  7. Workflow
    H2O Cross-Validation
    H2O Machine learning Cross-validation
    This workflow shows how to use cross-validation in H2O using the KNIME H2O Nodes. In the example we use the H2O Random Forest to …
    knime > Examples > 04_Analytics > 15_H2O_Machine_Learning > 04_H2O_Crossvalidation
    1
    knime
  8. Workflow
    H2O Driverless AI Integration
    H2O Driverless AI Partner extension
    +1
    This workflow shows how to utilize H2O Driverless AI in KNIME to create a model. It starts off with data ingestion and preprocess…
    knime > Examples > 04_Analytics > 15_H2O_Machine_Learning > 09_H2O_DriverlessAI_Example
    1
    knime
  9. Workflow
    H2O AutoML for Regression
    H2O Machine learning Automl
    +3
    This example shows how to build a regression model with H2O AutoML, predict new data and score the regression metrics for model e…
    knime > Examples > 04_Analytics > 15_H2O_Machine_Learning > 11_H2O_AutoML_Regression_Model
    1
    knime
  10. Workflow
    KNIME H2O Driverless AI Credit Card
    H2O Driverless AI Partner extension
    +1
    This workflow shows how to utilize the new H2O Driverless AI nodes. In order to run the workflow, you will need access to a Drive…
    knime > Examples > 04_Analytics > 15_H2O_Machine_Learning > 10_H2O_DriverlessAI_CreditCard
    1
    knime
  11. Workflow
    H2O Parameter Optimization
    H2O Machine learning Parameter optimization
    +1
    This tutorial shows how to train multiple H2O Models in KNIME using parameter optimization (grid search) and extract the optimal …
    chester2020 > Public > 06_H2O_GBM_parameter_optimization
    0
    chester2020
  12. Workflow
    Group 2 Optional Steps
    Predictive Analytics Machine Learning Cross Validation
    +6
    Optional tasks for Group 2 in KNIME Data Science Learnathon - Apply a cross validation loop to a classification model - Train a c…
    maarit > University Course > Learnathon UM April 21 > Challenges > Group2_Training_Evaluation_and_Optimization > Group2_2_OPTIONAL_Steps
    0
    maarit
  13. Workflow
    H2O scoring model performance metrics
    H2O Scoring Machine learning
    +1
    In this example we take a look at the KNIME Nodes for H2O Scoring. There are different H2O Scorer Nodes in KNIME for different Ma…
    snaptrap013 > Public > 05_H2O_Scoring
    0
    snaptrap013
  14. Workflow
    Problem on Windows when transfering data from Pandas to H2O (solved)
    H2o Encoding Progress
    +4
    When transfering data within the Python Script node from a pandas data frame to H2O cluster on Windows there seems to be a strang…
    mlauber71 > Public > kn_problem_h2o_python
    0
    mlauber71
  15. Workflow
    Combine Big Data, Spark and H2O.ai Sparkling Water
    Knime H2o H2o.ai
    +8
    - load data into (local) Big Data environment - load data into Spark context - load data into H2O.ai Sparkling Water context - bu…
    mlauber71 > Public > kn_example_h2o_sparkling_water
    0
    mlauber71
  16. Workflow
    Re-Engineering the variable importance by feeding the Score (of a binary classification) into a numeric model that provides variable importance
    H2o Model Importance
    +1
    Re-Engineering the variable importance by feeding the Score (of a binary classification) into a numeric model that provides varia…
    mlauber71 > Public > kn_example_ml_variable_importance_re_engineering
    0
    mlauber71
  17. Workflow
    Score UCI Wine Quality Dataset - multiple Targets (multiclass) with H2O.ai nodes and other models - measure results with LogLoss
    H2o H2o.ai Multiclass
    +2
    Score UCI Wine Quality Dataset - multiple Targets (multiclass) with H2O.ai nodes and other models - measure results with LogLoss
    mlauber71 > Public > kn_example_ml_multiclass_wine_quality
    0
    mlauber71
  18. Workflow
    Score UCI Glass Dataset - multiple Targets (multiclass) with H2O.ai nodes and other models - measure results with LogLoss
    H2o H2o.ai Multiclass
    +2
    Score UCI Glass Dataset - multiple Targets (multiclass) with H2O.ai nodes and other models - measure results with LogLoss
    mlauber71 > Public > kn_example_ml_multiclass_glass_data
    0
    mlauber71
  19. Workflow
    H2O.ai AutoML (wrapped with Python) with vtreat data preparation in KNIME for classification problems (with R vtreat)
    H2o Automl Knime
    +10
    H2O.ai AutoML (wrapped with Python) with vtreat data preparation in KNIME for classification problems (with R vtreat) - a powerfu…
    mlauber71 > Public > automl > kn_automl_h2o_classification_python_vtreat
    0
    mlauber71
  20. Workflow
    H2O.ai AutoML (wrapped with R) with vtreat data preparation in KNIME for classification problems (with R vtreat)
    H2o Automl Knime
    +10
    H2O.ai AutoML (wrapped with R) in KNIME for classification problems (with R vtreat) - a powerful auto-machine-learning framework …
    mlauber71 > Public > automl > kn_automl_h2o_classification_r_vtreat
    0
    mlauber71