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Classification Education Prediction Decision tree Data mining
+3
  1. Workflow
    Sentiment Analysis with BERT
    Deep Learning NLP Machine Learning
    +8
    This workflow demonstrates how to do sentiment analysis by fine-tuning Google's BERT network. The idea is straight forward: A sma…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 04_TensorFlow2 > 01_BERT_Sentiment_Analysis
    12
  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
  3. 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
    4
  4. Workflow
    ML Prototyping for Bioactivity Data
    Cheminformatics Webportal Data Visualization
    +7
    This workflow demonstrates model building for a bioactivity data set with several machine learning methods and binary fingerprint…
    knime > Life Sciences > Events > 2021_03_03_Cheminformatics_with_KNIME_Webinar > ML Prototyping for Bioactivity Data
    4
  5. Workflow
    Guided Automation
    AutoML Guided analytics Automated machine learning
    +11
    Download the entire workflow group from the Example Server. This Guided Analytics application is made of this main workflow, whic…
    knime > Examples > 50_Applications > 36_Guided_Analytics_for_ML_Automation > 01_Guided_Analytics_for_ML_Automation > 01_Guided_Analytics_for_ML_Automation
    4
  6. Workflow
    Model Interpretability, Titanic
    Titanic Random Forest ML Interpretability
    +6
    The workflow demonstrates how to use SHAP, Shapley Values and LIME implemenatations in KNIME 4.0 and generates a basic combined v…
    knime > Examples > 04_Analytics > 17_Machine_Learning_Interpretability > 03_Titantic_Prediction_Explanations
    4
  7. Workflow
    2 Examples for Parameter Optimization Loops
    Parameter optimization Optimization Machine learning
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    This workflow shows 2 examples of parameter optimization in a decision tree and in a logistic regression. In the decision tree we…
    knime > Examples > 04_Analytics > 11_Optimization > 06_Parameter_Optimization_two_examples
    4
  8. Workflow
    TeachOpenCADD - a teaching platform for computer-aided drug design using KNIME
    ChEMBL query PDB query Molecular filtering
    +6
    The TeachOpenCADD KNIME (v1.0.3) pipeline consists of eight inter-connected workflows (W1-8) , each containing one topic in compu…
    volkamerlab > Public > TeachOpenCADD > TeachOpenCADD
    3
  9. 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
  10. 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
  11. Workflow
    Predict sales for a retail store with linear regression
    Linear Regression Machine learning Analysis
    +6
    - Prepare train and test data - Treat missing value - Finding correlation - Train a Linear Regression model - Apply trained regre…
    shubham769 > Public > Predict sales amount with linear regression > Predict sales for a retail store with linear regression
    2
  12. Workflow
    Analytics - Model Selection to Predict Flight Departure Delays
    Data science Machine learning Model selection
    +4
    This workflow trains a number of data analytics models and automatically selects the best model to predict departure delays from …
    knime > Examples > 50_Applications > 28_Predicting_Departure_Delays > 01_Analytics
    2
  13. Workflow
    Training a Decision Tree
    Classification Machine learning Prediction
    +6
    This workflow is an example of how to build a basic prediction / classification model using a decision tree. Dataset describes wi…
    knime > Examples > 04_Analytics > 04_Classification_and_Predictive_Modelling > 07_Decision_Tree
    2
  14. 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
  15. Workflow
    Wide and Deep Learning on the Census dataset
    Deep learning Wide learning Tensorflow
    +2
    This workflow shows one way of applying deep learning to tabular data. The main focus of the workflow lies on data preparation an…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 02_Keras > 09_Wide_and_Deep_Learning_on_Census_Dataset
    1
  16. 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
  17. Workflow
    Compute Local Model-agnostic Explanations (LIMEs)
    LIME Machine learning interpretability Mli
    +9
    This is an example for computing explanation using LIME. An XGBoost model was picked, but any model and its set of Learner and Pr…
    knime > Examples > 04_Analytics > 17_Machine_Learning_Interpretability > 01_Compute_LIMEs
    1
  18. Workflow
    Day5 Analytics - Cost Prediction with PyCaret
    Machine learning PyCaret Python
    +2
    Demonstrates the building of a deployable machine learning model using KNIME Integrated Deployment and PyCaret. Compares results …
    supersharp > Finance, Accounting and Audit Automation > Cost Prediction with PyCaret > Day5 Analytics - Cost Prediction with PyCaret
    1
  19. Workflow
    Guided Analytics with Shared Components - Preview
    Guided analytics Shared component AutoML
    +13
    --------------- !!! DISCLAIMER !!! --------------- These Components are not-verified Beta versions shared in Fall 2019 on my pers…
    paolotamag > Public > Guided_Analytics_with_Shared_Components
    1
  20. Workflow
    Decision Tree with all its exports
    Machine learning Decision tree Sql
    +3
    A simple decision tree with all the possibilities to store the results (as PMML or Ruleset or SQL Code) and evaluation (ROC curve
    mlauber71 > Public > kn_example_decision_tree
    1