Hub

58 results

Filter
GIDS
TheGuideBook 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
    5
  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
    jjmie > Public > 01_HierarchicalClustering
    1
  5. Workflow
    Market Basket Analysis: Building Association Rules
    Retail Association rules Recommandation engine
    +11
    This workflow builds a recommandation engine for market basket analysis using the Borgelt version of the Apriori algorithm.
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter7 > 04_Association_Rules_for_MarketBasketAnalysis
    1
  6. 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
  7. 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
  8. 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
  9. Workflow
    01_Basic_Clustering_Workflow
    Clustering Beginners Start
    +3
    Basic Example of data access (File Reading), data wrangling (Column Filter + Normalization), clustering (k-Means), and finally co…
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > AppendixB > 01_Basic_Clustering_Workflow
    0
  10. 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
  11. 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
  12. Workflow
    Hierarchical Clustering
    Clustering Machine learning Data mining
    +3
    This workflow clusters the iris dataset using Hierarchical Clustering
    emilio_s > Public Exercises > DL Italia > Lesson 3 > 5) 01_HierarchicalClustering
    0
  13. 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
  14. Workflow
    SVM on iris dataset
    TheGuideBook SVM Classification
    +2
    This workflow solves a classification problem on the iris dataset using Support Vector Machines (SVM).
    jessi > Public > 03_SVM
    0
  15. 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
  16. Workflow
    Simple Visualization
    TheGuideBook Data Access CSV
    +16
    The Iris dataset contains information about sepal and petal dimensions of three species of Iris flower. For exercise purposes, th…
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter4 > 01_Simple_Visualization
    0
  17. Workflow
    Backward Feature Elimination
    ETL Accuracy Classification
    +5
    This workflow shows the implementation of the backward feature elimination procedure via the Backward Feature Elimnation metanode…
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter6 > 03_Backward_Feature_Elimination
    0
  18. Workflow
    How to use normalization in a data science solution
    Machine learning Data mining TheGuideBook
    +4
    This is how to apply normalization correctly in a data science problem. The normalization model is built on the training set and …
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter6 > 02_How_to_use_normalization
    0
  19. Workflow
    Dimensionality Reduction & Outlier Detection
    TheGuideBook Outliers Outlier detection
    +6
    This workflow processes the adult dataset, containing people demographics, by eliminating columns with too many missing values or…
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter6 > 01_Column_Row_Filtering
    0
  20. 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