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Machine learning Classification Education Decision tree Deployment
+6
  1. 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
    3
  2. 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
  3. Workflow
    Evaluating the Performance of a Regression Model
    Model evaluation Regression Prediction
    +10
    This workflow trains a linear regression model that predicts the amount of a credit. The performance of the linear regression mod…
    knime > Examples > 04_Analytics > 10_Scoring > 04_Evaluating_Regression_Model_Performance
    2
  4. Workflow
    Keras Autoencoder for Fraud Detection Deployment
    Autoencoder Keras Neural network
    +16
    Read Keras model. Read deployment data, which are normalized into range [0,1]. Apply the Keras model to the deployment data, calc…
    knime > Examples > 50_Applications > 39_Fraud_Detection > 04_Keras_Autoencoder_for_Fraud_Detection_Deployment
    1
  5. Workflow
    Training a Decision Tree
    Classification Machine learning Prediction
    +9
    Training a decision tree and training a random forest of decision trees. Adult.csv dataset describes US census information. Outpu…
    rs1 > Public > 09_Random_Forest
    1
  6. Workflow
    Energy Demand Prediction with LSTM - Deployment
    Time Series Prediction Energy Usage
    +4
    This workflow applies an LSTM network to predict energy demand using lagged values of a time series as input.
    kathrin > Codeless Deep Learning with KNIME > Chapter 6 > 02_TSA_with_LSTM_Network_Deployment
    1
  7. Workflow
    Keras Autoencoder for Fraud Detection - Deployment
    Autoencoder Keras Neural network
    +15
    This workflow applies a trained autoencoder model to detect fraudulent transactions.
    kathrin > Codeless Deep Learning with KNIME > Chapter 5 > 02_Autoencoder_for_Fraud_Detection_Deployment
    1
  8. Workflow
    Model Deployment as REST API
    Deployment REST JSON
    +3
    This workflow demontstrates a mode of deploying a model with KNIME. The workflow receives new unseen data via a REST interface, s…
    knime > Examples > 50_Applications > 27_Deployment_Options > 03_Model_Deployment_as_REST_API
    1
  9. Workflow
    Training a Random Forest
    Classification Machine learning Prediction
    +11
    Training a decision tree and training a random forest of decision trees.
    knime > Examples > 04_Analytics > 04_Classification_and_Predictive_Modelling > 09_Random_Forest
    1
  10. Workflow
    ARIMA Model Example
    Time Series Energy Usage ARIMA
    +2
    This workflow predicts the irregular component of time series (energy consumption) by autoregressive integrated moving average (A…
    corey > Public > ARIMA Example
    1
  11. Workflow
    Random Forest, Gradient Boosted Trees, and TreeEnsemble
    Classification Machine learning Prediction
    +9
    This workflow solves a binary classification problem on the adult dataset using more advanced algorithms: - Random Forest - Gradi…
    rs1 > Public > Tree_Ensembles
    1
  12. Workflow
    Energy Demand Prediction with LSTM - Training
    Time Series Prediction Energy Usage
    +4
    This workflow trains and applies an LSTM network to predict energy demand using lagged values of a time series as input. In the E…
    kathrin > Codeless Deep Learning with KNIME > Chapter 6 > 01_TSA_with_LSTM_Network_Training
    1
  13. Workflow
    Advanced Machine Learning - Chemistry
    Machine learning Data mining Classification
    +11
    "Advanced Machine Learning Chemistry" exercise for the advanced Life Science User Training - Training a Random Forest model to pr…
    catherineoleary > Public > L2-LS KNIME Analytics Platform for Data Scientists - Life Sciences - Advanced > Exercises > 03. Advanced Machine Learning Chemistry
    0
  14. Workflow
    Linear Regression Example - Ames Housing Data
    Linear regression Machine learning Prediction
    +1
    A linear regression model is trained to predict prices of houses in Ames, Iowa, USA. A number of numerical features are included …
    alinebessa > Courses and Workshops > Norbert and Michael - Workshop > HousePrice > Linear_Regression
    0
  15. Workflow
    Regression Tree - Ames Housing Data
    Machine learning Prediction Education
    +1
    A regression tree model is trained to predict prices of houses in Ames, Iowa, USA. A number of numerical features are included as…
    alinebessa > Courses and Workshops > Norbert and Michael - Workshop > HousePrice > Regression_Tree
    0
  16. Workflow
    Model Deployment as REST API
    Deployment REST JSON
    +3
    This workflow demontstrates a mode of deploying a model with KNIME. The workflow receives new unseen data via a REST interface, s…
    deepsika > Public > 03_Model_Deployment_as_REST_API (1)
    0
  17. Workflow
    c6.2_2_gold_price_prediction
    Time Series RBF Networks Gold price
    +5
    Predict the gold price with KNIME and Python by uncovering underlying trends and business cycles with the Hodrick-Prescott filter…
    deganza > Public > KNIME_Solutions_for_real_applications > c6.2_Gold_price_prediction > c6.2_2_gold_price_prediction
    0
  18. Workflow
    Group 3 Composite View
    Deployment Prediction Model
    +7
    Task for Group 3 in KNIME Data Science Learnathon - Apply a model to deployment data - Assign colors to data based on the delay s…
    knime > Education > Learnathons > From_Raw_Data_To_Deployment > Learnathon > Challenges > Group3_Model_Deployment > Group3_Composite_View
    0
  19. Workflow
    Random Forest, Gradient Boosted Trees, and TreeEnsemble
    Classification Machine learning Prediction
    +11
    This workflow solves a binary classification problem on the adult dataset using more advanced algorithms: - Random Forest - Gradi…
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter9 > 04_TreeEnsemble
    0
  20. Workflow
    Energy Consumption Forecasting with LSTM
    Time Series Prediction Energy Usage
    +4
    This workflow predicts time series (energy consumption) by an LSTM network with lagged values as input. The trained model is then…
    sthi > Public > Energy Consumption Forecasting with LSTM
    0