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TheGuideBook
GIDS Academia Exercise Classification Machine learning
+3
  1. 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
  2. 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
  3. Workflow
    Classification of the iris data using kNN
    TheGuideBook KNN K Nearest Neighbor
    +2
    This workflow solves a classification problem on the iris dataset using the k-Nearest Neighbor (kNN) algorithm.
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter9 > 01_kNN
    2
  4. 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
  5. Workflow
    Decision Tree
    TheGuideBook Decision Tree Classification
    +1
    Using the adult dataset, this workflow performs binary classification (income > or < 50K) using a Decision Tree. The target is th…
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter8 > 01_DecisionTree
    1
  6. Workflow
    Hierarchical Clustering
    Clustering Machine learning Data mining
    +3
    This workflow clusters the iris dataset using Hierarchical Clustering
    jjmie > Public > 01_HierarchicalClustering
    1
  7. Workflow
    Implementation of Different Clustering Algorithms
    Clustering Machine learning Data mining
    +4
    This workflow clusters the iris dataset using Hierarchical Clustering, DBSCAN and k-means
    kathrin > University Lectures > Lecture HU Berlin (Clustering) > Clustering_Exercises > 01_Clustering_Algorithms_Exercise
    0
  8. 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
  9. 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
  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
    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
  12. 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
  13. Workflow
    Deployment to a Dashboard
    TheGuideBook Deployment Dashboard
    +1
    This deployment workflow builds a simple dashboard. Reads a pre-trained decision tree model and applies it to new data to predict…
    schramm > New space > 01_Deploy_on_Dashboard
    0
  14. Workflow
    Naive Bayes
    TheGuideBook Naive Bayes Classification
    +1
    Using the adult dataset, this workflow performs binary classification using the Naive Bayes algorithm. The target is the income c…
    dias > Public > 02_NaiveBayes
    0
  15. Workflow
    ROC_Curve
    GIDS Exercise Academia
    +2
    ROC Curve: compare the performance of two classification models
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter5_Principles_of_Modeling > ROC_Curve_Exercise
    0
  16. Workflow
    Deployment to a Dashboard
    TheGuideBook Deployment Dashboard
    +1
    This deployment workflow builds a simple dashboard. Reads a pre-trained decision tree model and applies it to new data to predict…
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter10 > 01_Deploy_on_Dashboard
    0
  17. 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
  18. 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
  19. Workflow
    Clustering - Solution
    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_Solution
    0
  20. Workflow
    Regression Tree - Solution
    Regression Machine learning Education
    +4
    Regression Tree: predict house price. - Partition data into training and test set - Train a regression tree model - Apply the tra…
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter8_Decision_and_Regression_Trees > Regression_Tree_Solution
    0