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Customer Intelligence Churn K-Means Clustering Customer segmentation Decision tree WebPortal Interactive visualization Labelling
  1. Workflow
    Analyze Data by Training a Decision Tree Classifier for Churn Prediction
    Customer Intelligence CI Churn
    +5
    This workflow is an example of how to train a basic machine learning model for a churn prediction task. In this case, we use a De…
    knime > Beginners Space > 04_Analyze > 01_Analyze_Training_a_Churn_Predictor
    5
    knime
  2. Workflow
    Churn Analysis
    Churn Analysis Customer Intelligence CI
    +3
    This workflow clusters telco customers using the k-Means algorithm. As in all exploratory data mining, it is unknown beforehand w…
    knime > Examples > 50_Applications > 03_Churn_Analysis > 01_ChurnAnalysis
    5
    knime
  3. Workflow
    Customer Segmentation
    Clustering K-Means Customer segmentation
    +7
    This workflow performs customer segmentation by means of k-Mean clustering. The second part of the workflow implements an interac…
    knime > Examples > 50_Applications > 24_Customer_Segmentation_Use_Case > 02_Customer_Segmentation_Use_Case
    5
    knime
  4. Workflow
    Training a Churn Predictor
    Customer Intelligence CI Churn
    +2
    This workflow is an example of how to train a basic machine learning model for a churn prediction task. In this case we use a Dec…
    knime > Examples > 50_Applications > 18_Churn_Prediction > 01_Training_a_Churn_Predictor
    2
    knime
  5. Workflow
    Basic Customer Segmentation
    Clustering K-Means Customer segmentation
    +3
    This workflow implements a basic customer segmentation through a clustering procedure. No input is required from the business ana…
    knime > Examples > 50_Applications > 24_Customer_Segmentation_Use_Case > 01_Basic_Customer_Segmentation_Use_Case
    2
    knime
  6. Workflow
    Deploying a churn predictor
    Customer Intelligence CI Churn
    +4
    This workflow is an example of how to deploy a basic machine learning model (built in workflow "01_Training_a_Churn_Predictor") f…
    knime > Machine Learning and Marketing > Consumer Behavior > Churn Prediction > 02_Deploying_a_Churn_Predictor
    1
    knime
  7. Workflow
    Training a Churn Predictor
    Customer Intelligence CI Churn
    This workflow is an example of how to build a basic PMML model for a churn prediction using a Decision Tree algorithm.
    kathrin > Public > Machine_Learning_Workshop > Training_a_Churn_Predictor
    1
    kathrin
  8. Workflow
    Basic Customer Segmentation
    Clustering K-Means Customer segmentation
    +3
    This workflow implements a basic customer segmentation through a clustering procedure. No input is required from the business ana…
    knime > Machine Learning and Marketing > Segmentation and Personalization > Customer Segmentation > Clustering_for_Customer_Segmentation
    1
    knime
  9. Workflow
    Customer Segmentation
    Clustering K-Means Customer segmentation
    +6
    This workflow is used in the practical exercises of the "L3-PC KNIME Server: Productionizing and Collaboration" self-paced course…
    knime > Education > Self-Paced Courses > L3-PC KNIME Server Course - Productionizing and Collaboration > Customer Segmentation
    1
    knime
  10. Workflow
    Customer Segmentation
    Clustering K-Means Customer segmentation
    +6
    This workflow is used in the practical exercises of the "L3-PC KNIME Server: Productionizing and Collaboration" self-paced course…
    dawud > Public > Knime self-paced course > Customer Segmentation
    0
    dawud
  11. Workflow
    Customer Segmentation
    Clustering K-Means Customer segmentation
    +6
    This workflow is used in the practical exercises of the "L3-PC KNIME Server: Productionizing and Collaboration" self-paced course…
    nmkhawana > Public > Customer Segmentation
    0
    nmkhawana
  12. Workflow
    Training a Churn Predictor
    Customer Intelligence CI Churn
    +5
    This workflow is an example of how to train a basic machine learning model for a churn prediction task. In this case we train a r…
    knime > Machine Learning and Marketing > Consumer Behavior > Churn Prediction > 01_Creating_a_Churn_Predictor
    0
    knime
  13. Workflow
    Training a Churn Predictor
    Customer Intelligence CI Churn
    This workflow is an example of how to build a basic PMML model for a churn prediction using a Decision Tree algorithm.
    kathrin > University Lectures > Lecture Lausanne (Intro) > 01_Training_a_Churn_Predictor_Solution
    0
    kathrin
  14. Workflow
    Training a Churn Predictor - Exercise
    Customer Intelligence CI Churn
    +6
    Exercise 13 for the KNIME Analytics Platform for Data Wranglers course - Join data from different sources - Apply color formattin…
    hayasaka > KNIME Spring Summit Training 2023 > L2-DW KNIME Analytics Platform for Data Wranglers - Advanced > Exercises > 13_Training_a_Churn_Prediction_Model_Exercise
    0
    hayasaka
  15. Workflow
    Training a Churn Predictor - Solution
    Customer Intelligence CI Churn
    +6
    Solution to exercise 13 for the KNIME Analytics Platform for Data Wranglers course - Join data from different sources - Apply col…
    ana_ved > L2-DW 3.3 > L2-DW KNIME Analytics Platform for Data Wranglers - Advanced 2 > 13_Training_a_Churn_Predictor_Solution
    0
    ana_ved
  16. Workflow
    Analyze Data by Training a Decision Tree Classifier for Churn Prediction
    Customer Intelligence CI Churn
    +5
    This workflow is an example of how to train a basic machine learning model for a churn prediction task. In this case, we use a De…
    scebesoy > Public > 04_Analyze > 01_Analyze_Training_a_Churn_Predictor
    0
    scebesoy
  17. Workflow
    Churn Analysis
    Churn Analysis Customer Intelligence CI
    +3
    This workflow clusters telco customers using the k-Means algorithm. As in all exploratory data mining, it is unknown beforehand w…
    vika > Public > 01_ChurnAnalysis
    0
    vika
  18. Workflow
    Training a Churn Predictor - Solution
    Customer Intelligence CI Churn
    +6
    Solution to exercise 13 for the KNIME Analytics Platform for Data Wranglers course - Join data from different sources - Apply col…
    ana_ved > L2-DW 3.3 > L2-DW KNIME Analytics Platform for Data Wranglers - Advanced 2 > Solutions > 13_Training_a_Churn_Predictor_Solution
    0
    ana_ved
  19. Workflow
    Customer Segmentation
    Clustering K-Means Customer segmentation
    +6
    This workflow is used in the practical exercises of the "L3-PC KNIME Server: Productionizing and Collaboration" self-paced course…
    manuel1972 > Public > Self-Paced Courses > L3-PC KNIME Server Course - Productionizing and Collaboration > Customer Segmentation
    0
    manuel1972
  20. Workflow
    Customer Segmentation
    Clustering K-Means Customer segmentation
    +6
    This workflow is used in the practical exercises of the "L3-PC KNIME Server: Productionizing and Collaboration" self-paced course…
    shiv_space > Public > Customer Segmentation
    0
    shiv_space