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Exercise
Books KNIME Advanced Luck Flow variables Flow control ETL SQLite Component Configuration Database
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    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
    knime
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    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
    knime
  3. Go to item
    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
    knime
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    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_Exercise
    0
    knime
  5. Go to item
    Workflow
    Chapter 5 / Exercise 4
    Books KNIME Advanced Luck Exercise
    +5
    This exercise implements a parametric Column Filter node (in the Component) and a parametric Column Merger node. Select Column 1 …
    rs1 > Public > KNIMEPress > KNIME_Advanced_Luck_4.5_2022011 > AdvancedLuck > Chapter5 > Exercises > Exercise4
    0
    rs1
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    Chapter 5 / Exercise 4
    Books KNIME Advanced Luck Exercise
    +5
    This exercise implements a parametric Column Filter node (in the Component) and a parametric Column Merger node. Select Column 1 …
    jeany > Public > KNIMEPress > KNIME_Advanced_Luck_4.1_20200525 > AdvancedLuck > Chapter5 > Exercises > Exercise4
    0
    jeany
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    Chapter 5 / Exercise 4
    Books KNIME Advanced Luck Exercise
    +5
    This exercise implements a parametric Column Filter node (in the Component) and a parametric Column Merger node. Select Column 1 …
    jeany > Public > KNIMEPress > KNIME_Advanced_Luck_4.3_20210222 > Chapter5 > Exercises > Exercise4
    0
    jeany
  8. Go to item
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    Chapter 5 / Exercise 4
    Books KNIME Advanced Luck Exercise
    +5
    This exercise implements a parametric Column Filter node (in the Component) and a parametric Column Merger node. Select Column 1 …
    rs1 > Public > KNIMEPress > KNIME_Advanced_Luck_4.4_20210803 > AdvancedLuck > Chapter5 > Exercises > Exercise4
    0
    rs1
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    Chapter 5 / Exercise 4
    Books KNIME Advanced Luck Exercise
    +5
    This exercise implements a parametric Column Filter node (in the Component) and a parametric Column Merger node. Select Column 1 …
    rs1 > Public > KNIMEPress > KNIME_Advanced_Luck_4.6_20220810 > AdvancedLuck > Chapter5 > Exercises > Exercise4
    0
    rs1
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    Workflow
    Chapter 5 / Exercise 4
    Books KNIME Advanced Luck Exercise
    +5
    This exercise implements a parametric Column Filter node (in the Component) and a parametric Column Merger node. Select Column 1 …
    rs1 > Public > KNIMEPress > KNIME_Advanced_Luck_4.7_20230123 > AdvancedLuck > Chapter5 > Exercises > Exercise4
    0
    rs1
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    Chapter 2 / Exercise 3
    SQLite Books Exercise
    +3
    The goal of this exercise is to practice with the Parameterized DB Query Reader node for looping purpose. Extract make, nr_doors,…
    rs1 > Public > KNIMEPress > KNIME_Advanced_Luck_4.5_2022011 > AdvancedLuck > Chapter2 > Exercises > Exercise3
    0
    rs1
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    Chapter 2 / Exercise 3
    SQLite Books Exercise
    +3
    The goal of this exercise is to practice with the Parameterized DB Query Reader node for looping purpose. Extract make, nr_doors,…
    jeany > Public > KNIMEPress > KNIME_Advanced_Luck_4.3_20210222 > Chapter2 > Exercises > Exercise3
    0
    jeany
  13. Go to item
    Workflow
    Chapter 2 / Exercise 3
    SQLite Books Exercise
    +3
    The goal of this exercise is to practice with the Parameterized DB Query Reader node for looping purpose. Extract make, nr_doors,…
    rs1 > Public > KNIMEPress > KNIME_Advanced_Luck_4.6_20220810 > AdvancedLuck > Chapter2 > Exercises > Exercise3
    0
    rs1
  14. Go to item
    Workflow
    Chapter 2 / Exercise 3
    SQLite Books Exercise
    +3
    The goal of this exercise is to practice with the Parameterized DB Query Reader node for looping purpose. Extract make, nr_doors,…
    rs1 > Public > KNIMEPress > KNIME_Advanced_Luck_4.7_20230123 > AdvancedLuck > Chapter2 > Exercises > Exercise3
    0
    rs1
  15. Go to item
    Workflow
    Chapter 2 / Exercise 3
    SQLite Books Exercise
    +3
    The goal of this exercise is to practice with the Parameterized DB Query Reader node for looping purpose. Extract make, nr_doors,…
    jeany > Public > KNIMEPress > KNIME_Advanced_Luck_4.1_20200525 > AdvancedLuck > Chapter2 > Exercises > Exercise3
    1
    jeany
  16. Go to item
    Workflow
    Chapter 2 / Exercise 3
    SQLite Books Exercise
    +3
    The goal of this exercise is to practice with the Parameterized DB Query Reader node for looping purpose. Extract make, nr_doors,…
    rs1 > Public > KNIMEPress > KNIME_Advanced_Luck_4.4_20210803 > AdvancedLuck > Chapter2 > Exercises > Exercise3
    0
    rs1
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    Workflow
    LSTM for text generation - Training
    Exercise Deep Learning LSTM
    +1
    Exercise of the L4-DL Introduction to Deep Learning Course. Train a LSTM model to perform text generation. - Define a suitable ne…
    knime > Education > Courses > L4-DL Introduction to Deep Learning > Session3 > Solutions > 01_Training_LSTM_Solution
    0
    knime
  18. Go to item
    Workflow
    LSTM for text generation - Training
    Exercise Deep Learning LSTM
    +1
    Exercise of the L4-DL Introduction to Deep Learning Course. Train a LSTM model to perform text generation. - Define a suitable ne…
    knime > Education > Courses > L4-DL Introduction to Deep Learning > Session3 > Exercises > 01_Training_LSTM_Exercise
    0
    knime
  19. Go to item
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    Chapter 5 / Exercise 2
    KNIME Advanced Luck Books Exercise
    +3
    This exercise: - uses a global variable (username), - creates a local variable (timestamp ) with a Java Edit Variable node, - per…
    rs1 > Public > KNIMEPress > KNIME_Advanced_Luck_4.7_20230123 > AdvancedLuck > Chapter5 > Exercises > Exercise2
    0
    rs1
  20. Go to item
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    Chapter 5 / Exercise 2
    KNIME Advanced Luck Books Exercise
    +3
    This exercise: - uses a global variable (username), - creates a local variable (timestamp ) with a Java Edit Variable node, - per…
    rs1 > Public > KNIMEPress > KNIME_Advanced_Luck_4.5_2022011 > AdvancedLuck > Chapter5 > Exercises > Exercise2
    0
    rs1

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