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  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
    3
    marten_kose
  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
    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
  5. 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
  6. 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
    marten_kose
  7. 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
  8. 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
  9. 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
  10. 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…
    anna_k > Public > kn_automl_h2o_regression_python
    0
    anna_k
  11. Workflow
    H2O Gradient Boosting Machine for classification
    H2O Machine learning Gradient Boosting Machine
    +1
    This workflow explains how to train a GBM classifier in H2O, predict classes of new data and evaluate the performance. 1. Prepare…
    r_khusainov > Public > 02_H2O_GBM_Classification_Model
    0
    r_khusainov
  12. Workflow
    use H2O.ai auto-machine-learning to just generate deep learning models
    H2o Deep learning Automl
    +2
    use H2O.ai auto-machine-learning to just generate deep learning models to compare that to architectures you have created with Ker…
    mlauber71 > Public > kn_example_deeplearning_keras_tensorflow_classification > kn_deeplearn_200_h2o_automl_dl
    0
    mlauber71
  13. Workflow
    s_605 - use the stored rules and lists to actually prepare the data
    Spark H2o Data
    +4
    s_605 - apply the label encoding and other transformations stored in SQL code and the selected final column as RegEx string Get t…
    mlauber71 > Public > kn_example_bigdata_h2o_automl_spark_46 > s_605_spark_prepare_data
    0
    mlauber71
  14. 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…
    yyy > Public > 11_H2O_AutoML_Regression_Model
    0
    yyy
  15. 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…
    l20121 > Public > kn_automl_h2o_regression_r
    0
    l20121
  16. Workflow
    Sparkling predictions and encoded labels
    Knime H2o H2o.ai
    +5
    Use Big Data Technologies like Spark to get a robust and scalable data preparation. Use the latest Auo ML technology like H2O.ai …
    ed10 > Public > s_400_spark_h2o_automl_about_this_collection
    0
    ed10
  17. 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…
    adm > Public > Workflows > Data Analytics Made Easy > Chapter 9 > H2O AutoML Regression Model
    0
    adm
  18. Workflow
    Group 2 Optional Steps
    Predictive Analytics Machine Learning Cross Validation
    +6
    Solution to the optional tasks for Group 2 in KNIME Data Science Learnathon - Apply a cross validation loop to a classification m…
    knime > Education > Learnathons > From_Raw_Data_To_Deployment > Learnathon > Challenges > Group2_Training_Evaluation_and_Optimization > Group2_2_Optional_Steps
    0
    hayasaka
  19. Workflow
    Isolation Forest for Fraud Detection: Model Deployment
    Fraud detection Deployment Isolation forest
    +5
    This workflow reads the trained isolation forest model, as well as the new transaction and applies the model to it. Based on the …
    knime > Examples > 50_Applications > 39_Fraud_Detection > 06_Isolation_Forest_for_Fraud_Detection_Deployment
    0
    knime
  20. Workflow
    s_600 - Sparkling predictions and encoded labels - "the poor man's ML Ops"
    Knime H2o H2o.ai
    +8
    s_600 - Sparkling predictions and encoded labels - "the poor man's ML Ops" Use Big Data Technologies like Spark to get a robust a…
    mlauber71 > Public > kn_example_bigdata_h2o_automl_spark_46 > s_600_spark_h2o_automl_about_this_collection
    0
    mlauber71