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GIDS TheGuideBook Education Classification Regression
+3
  1. Workflow
    Clustering
    Cluster K-Means Algorithm
    +5
    - Filter rows - Train a k-Means model - Visualize clustered entries on Scatter plot and OSM Map - Calculate Silhouette Coefficien…
    jjmie > Public > Clustering_Exercise
    0
  2. Workflow
    Linear Regression
    GIDS Academia Exercise
    +2
    Linear regression: predict house price. - Partition data into training and test set - Train a linear regression model - Apply the…
    stelfrich > Public > Regression SHAP Shapley
    0
  3. Workflow
    Clustering
    Cluster K-Means Algorithm
    +5
    - Filter rows - Train a k-Means model - Visualize clustered entries on Scatter plot and OSM Map - Calculate Silhouette Coefficien…
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter7_Clustering > Clustering_Exercise
    0
  4. Workflow
    01_Training
    Neural networks Deep learning GIDS
    +4
    In this exercise you will create a simple Feedforward Neural Network to predict the income class of a person in the adult dataset…
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter9_Neural_Networks > Exercise > 01_Training
    0
  5. Workflow
    02_Deployment
    GIDS Exercise Academia
    +4
    In this exercise you will use a previously trained neural network to predict some unseen data.
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter9_Neural_Networks > Exercise > 02_Deployment
    0
  6. Workflow
    Ensemble methods
    Classification Random forest Gradient boosted trees
    +7
    Ensembles: binary classification of house ranking (high/low rank). - Random forest - Gradient Boosted Trees - Training - Evaluati…
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter9_Ensemble_Methods > Ensemble_Solution
    0
  7. Workflow
    01_Training
    Neural networks Deep learning GIDS
    +4
    In this exercise you will create a simple Feedforward Neural Network to predict the income class of a person in the adult dataset…
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter9_Neural_Networks > Solution > 01_Training_Solution
    0
  8. Workflow
    SVM Exercise with Parameter Optimization
    SVM Support vector machine Classification
    +4
    Exercise for SVM. Classification of 2D silhouette attributes with SVM classifier. Oprimize the c parameter for the margin hardnes…
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter9_SVM > SVM_Exercise
    0
  9. Workflow
    02_Deployment
    GIDS Exercise Academia
    +4
    In this exercise you will use a previously trained neural network to predict some unseen data.
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter9_Neural_Networks > Solution > 02_Deployment_Solution
    0
  10. Workflow
    02_Deployment_LSTM_Solution
    GIDS Exercise Academia
    +3
    Use a trained LSTM model to perform free text generation. - Predict the next character given a starting sequence - Use different …
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter9_Deep_Learning_LSTM > 02_Deployment_LSTM_Solution
    0
  11. Workflow
    SVM Exercise with Parameter Optimization
    SVM Support vector machine Classification
    +4
    Exercise for SVM. Classification of 2D silhouette attributes with SVM classifier. Oprimize the c parameter for the margin hardnes…
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter9_SVM > SVM_Solution
    0
  12. Workflow
    02_Deployment_LSTM_Exercise
    GIDS Exercise Academia
    +3
    Use a trained LSTM model to perform free text generation. - Predict the next character given a starting sequence - Use different …
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter9_Deep_Learning_LSTM > 02_Deployment_LSTM_Exercise
    0
  13. Workflow
    01_Training_LSTM_Solution
    GIDS Exercise Academia
    +3
    Train a LSTM model to perform text generation. - Define a suitable network structure - Train the model using the preprocessed dat…
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter9_Deep_Learning_LSTM > 01_Training_LSTM_Solution
    0
  14. Workflow
    01_Training_LSTM_Exercise
    GIDS Exercise Academia
    +3
    Train a LSTM model to perform text generation. - Define a suitable network structure - Train the model using the preprocessed dat…
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter9_Deep_Learning_LSTM > 01_Training_LSTM_Exercise
    0
  15. Workflow
    Linear Regression
    GIDS Academia Exercise
    +2
    Linear regression: predict house price. - Partition data into training and test set - Train a linear regression model - Apply the…
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter8_Regression > Linear_Regression_Solution
    0
  16. Workflow
    Logistic Regression
    Logistic regression Classification Education
    +4
    Logistic Regression: predict wine color. - Normalize numerical columns - Partition the dataset into train and test set - Train a …
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter8_Regression > Logistic_Regression_Solution
    0
  17. Workflow
    Linear Regression
    GIDS Academia Exercise
    +2
    Linear regression: predict house price. - Partition data into training and test set - Train a linear regression model - Apply the…
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter8_Regression > Linear_Regression_Exercise
    0
  18. Workflow
    Logistic Regression
    Logistic regression Classification Education
    +4
    Logistic Regression: predict wine color. - Normalize numerical columns - Partition the dataset into train and test set - Train a …
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter8_Regression > Logistic_Regression_Exercise
    0
  19. Workflow
    Introduction
    GIDS Exercise Academia
    +1
    Exercise to perform basic operations in KNIME: - Read data - Filter rows - Filter columns - Write and plot data
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter1_Introduction > Introduction_Exercise
    0
  20. Workflow
    Decision Tree
    Classification Education Decision tree
    +4
    Decision Tree: binary classification of house ranking (high/low rank). - Create target column - Filter unnecessary columns - Spli…
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter8_Decision_and_Regression_Trees > Decision_Tree_Solution
    0